Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +28 -0
- README.md +58 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +16 -0
- all_results.json +9 -0
- checkpoint-100/README.md +202 -0
- checkpoint-100/adapter_config.json +26 -0
- checkpoint-100/adapter_model.safetensors +3 -0
- checkpoint-100/added_tokens.json +16 -0
- checkpoint-100/merges.txt +0 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/preprocessor_config.json +29 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +31 -0
- checkpoint-100/tokenizer.json +3 -0
- checkpoint-100/tokenizer_config.json +143 -0
- checkpoint-100/trainer_state.json +193 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-100/vocab.json +0 -0
- checkpoint-1000/README.md +202 -0
- checkpoint-1000/adapter_config.json +26 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/added_tokens.json +16 -0
- checkpoint-1000/merges.txt +0 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/preprocessor_config.json +29 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +31 -0
- checkpoint-1000/tokenizer.json +3 -0
- checkpoint-1000/tokenizer_config.json +143 -0
- checkpoint-1000/trainer_state.json +1633 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1000/vocab.json +0 -0
- checkpoint-1100/README.md +202 -0
- checkpoint-1100/adapter_config.json +26 -0
- checkpoint-1100/adapter_model.safetensors +3 -0
- checkpoint-1100/added_tokens.json +16 -0
- checkpoint-1100/merges.txt +0 -0
- checkpoint-1100/optimizer.pt +3 -0
- checkpoint-1100/preprocessor_config.json +29 -0
- checkpoint-1100/rng_state.pth +3 -0
- checkpoint-1100/scheduler.pt +3 -0
- checkpoint-1100/special_tokens_map.json +31 -0
- checkpoint-1100/tokenizer.json +3 -0
- checkpoint-1100/tokenizer_config.json +143 -0
- checkpoint-1100/trainer_state.json +1793 -0
- checkpoint-1100/training_args.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,31 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
37 |
+
checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
38 |
+
checkpoint-1100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
39 |
+
checkpoint-1200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
40 |
+
checkpoint-1300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
41 |
+
checkpoint-1400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
42 |
+
checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
43 |
+
checkpoint-1600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
44 |
+
checkpoint-1700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
45 |
+
checkpoint-1800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
46 |
+
checkpoint-1900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
47 |
+
checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
48 |
+
checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
49 |
+
checkpoint-2100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
50 |
+
checkpoint-2200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
51 |
+
checkpoint-2300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
52 |
+
checkpoint-2400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
53 |
+
checkpoint-2500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
54 |
+
checkpoint-2600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
55 |
+
checkpoint-2652/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
56 |
+
checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
57 |
+
checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
58 |
+
checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
59 |
+
checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
60 |
+
checkpoint-700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
61 |
+
checkpoint-800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
62 |
+
checkpoint-900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
63 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: Qwen/Qwen2-VL-2B-Instruct
|
3 |
+
library_name: peft
|
4 |
+
license: other
|
5 |
+
tags:
|
6 |
+
- llama-factory
|
7 |
+
- lora
|
8 |
+
- generated_from_trainer
|
9 |
+
model-index:
|
10 |
+
- name: train_2024-10-09-12-44-31
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# train_2024-10-09-12-44-31
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) on the my_chartQA dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 5e-05
|
39 |
+
- train_batch_size: 2
|
40 |
+
- eval_batch_size: 8
|
41 |
+
- seed: 42
|
42 |
+
- gradient_accumulation_steps: 8
|
43 |
+
- total_train_batch_size: 16
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: cosine
|
46 |
+
- num_epochs: 2.0
|
47 |
+
|
48 |
+
### Training results
|
49 |
+
|
50 |
+
|
51 |
+
|
52 |
+
### Framework versions
|
53 |
+
|
54 |
+
- PEFT 0.12.0
|
55 |
+
- Transformers 4.45.2
|
56 |
+
- Pytorch 2.4.1+cu121
|
57 |
+
- Datasets 2.21.0
|
58 |
+
- Tokenizers 0.20.0
|
adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": "^(?!.*visual).*(?:up_proj|k_proj|down_proj|gate_proj|v_proj|o_proj|q_proj).*",
|
23 |
+
"task_type": "CAUSAL_LM",
|
24 |
+
"use_dora": false,
|
25 |
+
"use_rslora": false
|
26 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd307845f400239ce8a74dd1a538ba9f636ecdf7c1f7e4b657b7296e9bd7f1ac
|
3 |
+
size 36981072
|
added_tokens.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|box_end|>": 151649,
|
3 |
+
"<|box_start|>": 151648,
|
4 |
+
"<|endoftext|>": 151643,
|
5 |
+
"<|im_end|>": 151645,
|
6 |
+
"<|im_start|>": 151644,
|
7 |
+
"<|image_pad|>": 151655,
|
8 |
+
"<|object_ref_end|>": 151647,
|
9 |
+
"<|object_ref_start|>": 151646,
|
10 |
+
"<|quad_end|>": 151651,
|
11 |
+
"<|quad_start|>": 151650,
|
12 |
+
"<|video_pad|>": 151656,
|
13 |
+
"<|vision_end|>": 151653,
|
14 |
+
"<|vision_pad|>": 151654,
|
15 |
+
"<|vision_start|>": 151652
|
16 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9992461364493028,
|
3 |
+
"num_input_tokens_seen": 12374624,
|
4 |
+
"total_flos": 1.4737021057528627e+17,
|
5 |
+
"train_loss": 0.7152637374976462,
|
6 |
+
"train_runtime": 12518.0469,
|
7 |
+
"train_samples_per_second": 3.391,
|
8 |
+
"train_steps_per_second": 0.212
|
9 |
+
}
|
checkpoint-100/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: Qwen/Qwen2-VL-2B-Instruct
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.12.0
|
checkpoint-100/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": "^(?!.*visual).*(?:up_proj|k_proj|down_proj|gate_proj|v_proj|o_proj|q_proj).*",
|
23 |
+
"task_type": "CAUSAL_LM",
|
24 |
+
"use_dora": false,
|
25 |
+
"use_rslora": false
|
26 |
+
}
|
checkpoint-100/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62aad734487878bbc4a1d6dd50bea5ceaa350abf7ef13055a6811ddc02c7a893
|
3 |
+
size 36981072
|
checkpoint-100/added_tokens.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|box_end|>": 151649,
|
3 |
+
"<|box_start|>": 151648,
|
4 |
+
"<|endoftext|>": 151643,
|
5 |
+
"<|im_end|>": 151645,
|
6 |
+
"<|im_start|>": 151644,
|
7 |
+
"<|image_pad|>": 151655,
|
8 |
+
"<|object_ref_end|>": 151647,
|
9 |
+
"<|object_ref_start|>": 151646,
|
10 |
+
"<|quad_end|>": 151651,
|
11 |
+
"<|quad_start|>": 151650,
|
12 |
+
"<|video_pad|>": 151656,
|
13 |
+
"<|vision_end|>": 151653,
|
14 |
+
"<|vision_pad|>": 151654,
|
15 |
+
"<|vision_start|>": 151652
|
16 |
+
}
|
checkpoint-100/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-100/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fdf0781c3299bd573a802930bed2ad7d161ad355a5fa88e5832e45970286a0c
|
3 |
+
size 74188650
|
checkpoint-100/preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": true,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.48145466,
|
8 |
+
0.4578275,
|
9 |
+
0.40821073
|
10 |
+
],
|
11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.26862954,
|
14 |
+
0.26130258,
|
15 |
+
0.27577711
|
16 |
+
],
|
17 |
+
"max_pixels": 12845056,
|
18 |
+
"merge_size": 2,
|
19 |
+
"min_pixels": 3136,
|
20 |
+
"patch_size": 14,
|
21 |
+
"processor_class": "Qwen2VLProcessor",
|
22 |
+
"resample": 3,
|
23 |
+
"rescale_factor": 0.00392156862745098,
|
24 |
+
"size": {
|
25 |
+
"max_pixels": 12845056,
|
26 |
+
"min_pixels": 3136
|
27 |
+
},
|
28 |
+
"temporal_patch_size": 2
|
29 |
+
}
|
checkpoint-100/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
3 |
+
size 14244
|
checkpoint-100/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a142f42a8cafcaf555571bb32022020a7d74aa4bdc290bb173c7a75237ec600c
|
3 |
+
size 1064
|
checkpoint-100/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-100/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
|
3 |
+
size 11420371
|
checkpoint-100/tokenizer_config.json
ADDED
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"151646": {
|
29 |
+
"content": "<|object_ref_start|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"151647": {
|
37 |
+
"content": "<|object_ref_end|>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"151648": {
|
45 |
+
"content": "<|box_start|>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"151649": {
|
53 |
+
"content": "<|box_end|>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"151650": {
|
61 |
+
"content": "<|quad_start|>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"151651": {
|
69 |
+
"content": "<|quad_end|>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"151652": {
|
77 |
+
"content": "<|vision_start|>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"151653": {
|
85 |
+
"content": "<|vision_end|>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"151654": {
|
93 |
+
"content": "<|vision_pad|>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"151655": {
|
101 |
+
"content": "<|image_pad|>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"151656": {
|
109 |
+
"content": "<|video_pad|>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
}
|
116 |
+
},
|
117 |
+
"additional_special_tokens": [
|
118 |
+
"<|im_start|>",
|
119 |
+
"<|im_end|>",
|
120 |
+
"<|object_ref_start|>",
|
121 |
+
"<|object_ref_end|>",
|
122 |
+
"<|box_start|>",
|
123 |
+
"<|box_end|>",
|
124 |
+
"<|quad_start|>",
|
125 |
+
"<|quad_end|>",
|
126 |
+
"<|vision_start|>",
|
127 |
+
"<|vision_end|>",
|
128 |
+
"<|vision_pad|>",
|
129 |
+
"<|image_pad|>",
|
130 |
+
"<|video_pad|>"
|
131 |
+
],
|
132 |
+
"bos_token": null,
|
133 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
134 |
+
"clean_up_tokenization_spaces": false,
|
135 |
+
"eos_token": "<|im_end|>",
|
136 |
+
"errors": "replace",
|
137 |
+
"model_max_length": 32768,
|
138 |
+
"pad_token": "<|endoftext|>",
|
139 |
+
"padding_side": "right",
|
140 |
+
"split_special_tokens": false,
|
141 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
142 |
+
"unk_token": null
|
143 |
+
}
|
checkpoint-100/trainer_state.json
ADDED
@@ -0,0 +1,193 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.07538635506973237,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 100,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.003769317753486619,
|
13 |
+
"grad_norm": 2.665037155151367,
|
14 |
+
"learning_rate": 4.999956146783009e-05,
|
15 |
+
"loss": 1.564,
|
16 |
+
"num_input_tokens_seen": 23856,
|
17 |
+
"step": 5
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.007538635506973238,
|
21 |
+
"grad_norm": 1.4514005184173584,
|
22 |
+
"learning_rate": 4.9998245886705174e-05,
|
23 |
+
"loss": 0.968,
|
24 |
+
"num_input_tokens_seen": 47584,
|
25 |
+
"step": 10
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0.011307953260459858,
|
29 |
+
"grad_norm": 2.0009350776672363,
|
30 |
+
"learning_rate": 4.999605330277923e-05,
|
31 |
+
"loss": 0.9879,
|
32 |
+
"num_input_tokens_seen": 70864,
|
33 |
+
"step": 15
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.015077271013946476,
|
37 |
+
"grad_norm": 1.2164318561553955,
|
38 |
+
"learning_rate": 4.999298379297376e-05,
|
39 |
+
"loss": 1.073,
|
40 |
+
"num_input_tokens_seen": 94192,
|
41 |
+
"step": 20
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.018846588767433094,
|
45 |
+
"grad_norm": 2.2099952697753906,
|
46 |
+
"learning_rate": 4.998903746497505e-05,
|
47 |
+
"loss": 0.8549,
|
48 |
+
"num_input_tokens_seen": 117472,
|
49 |
+
"step": 25
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.022615906520919715,
|
53 |
+
"grad_norm": 1.6259618997573853,
|
54 |
+
"learning_rate": 4.998421445723046e-05,
|
55 |
+
"loss": 0.8704,
|
56 |
+
"num_input_tokens_seen": 140704,
|
57 |
+
"step": 30
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.026385224274406333,
|
61 |
+
"grad_norm": 1.7849559783935547,
|
62 |
+
"learning_rate": 4.997851493894349e-05,
|
63 |
+
"loss": 0.9786,
|
64 |
+
"num_input_tokens_seen": 163680,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03015454202789295,
|
69 |
+
"grad_norm": 1.8650152683258057,
|
70 |
+
"learning_rate": 4.997193911006793e-05,
|
71 |
+
"loss": 0.8356,
|
72 |
+
"num_input_tokens_seen": 187072,
|
73 |
+
"step": 40
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.03392385978137957,
|
77 |
+
"grad_norm": 1.681622862815857,
|
78 |
+
"learning_rate": 4.996448720130077e-05,
|
79 |
+
"loss": 0.778,
|
80 |
+
"num_input_tokens_seen": 211040,
|
81 |
+
"step": 45
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.03769317753486619,
|
85 |
+
"grad_norm": 1.6398649215698242,
|
86 |
+
"learning_rate": 4.995615947407415e-05,
|
87 |
+
"loss": 0.939,
|
88 |
+
"num_input_tokens_seen": 234560,
|
89 |
+
"step": 50
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.04146249528835281,
|
93 |
+
"grad_norm": 2.327622890472412,
|
94 |
+
"learning_rate": 4.994695622054618e-05,
|
95 |
+
"loss": 1.0274,
|
96 |
+
"num_input_tokens_seen": 257632,
|
97 |
+
"step": 55
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.04523181304183943,
|
101 |
+
"grad_norm": 2.6391327381134033,
|
102 |
+
"learning_rate": 4.9936877763590664e-05,
|
103 |
+
"loss": 0.8822,
|
104 |
+
"num_input_tokens_seen": 281024,
|
105 |
+
"step": 60
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.049001130795326045,
|
109 |
+
"grad_norm": 1.8776222467422485,
|
110 |
+
"learning_rate": 4.992592445678582e-05,
|
111 |
+
"loss": 0.8146,
|
112 |
+
"num_input_tokens_seen": 304688,
|
113 |
+
"step": 65
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.052770448548812667,
|
117 |
+
"grad_norm": 1.6592698097229004,
|
118 |
+
"learning_rate": 4.991409668440185e-05,
|
119 |
+
"loss": 0.9989,
|
120 |
+
"num_input_tokens_seen": 327424,
|
121 |
+
"step": 70
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.05653976630229928,
|
125 |
+
"grad_norm": 1.709376335144043,
|
126 |
+
"learning_rate": 4.990139486138743e-05,
|
127 |
+
"loss": 0.9344,
|
128 |
+
"num_input_tokens_seen": 350528,
|
129 |
+
"step": 75
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.0603090840557859,
|
133 |
+
"grad_norm": 1.3547413349151611,
|
134 |
+
"learning_rate": 4.988781943335521e-05,
|
135 |
+
"loss": 0.7932,
|
136 |
+
"num_input_tokens_seen": 373280,
|
137 |
+
"step": 80
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.06407840180927252,
|
141 |
+
"grad_norm": 1.3162572383880615,
|
142 |
+
"learning_rate": 4.987337087656614e-05,
|
143 |
+
"loss": 0.9445,
|
144 |
+
"num_input_tokens_seen": 395856,
|
145 |
+
"step": 85
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.06784771956275915,
|
149 |
+
"grad_norm": 1.8211767673492432,
|
150 |
+
"learning_rate": 4.985804969791279e-05,
|
151 |
+
"loss": 0.7369,
|
152 |
+
"num_input_tokens_seen": 418704,
|
153 |
+
"step": 90
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.07161703731624576,
|
157 |
+
"grad_norm": 1.552996039390564,
|
158 |
+
"learning_rate": 4.984185643490151e-05,
|
159 |
+
"loss": 1.0226,
|
160 |
+
"num_input_tokens_seen": 442432,
|
161 |
+
"step": 95
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.07538635506973237,
|
165 |
+
"grad_norm": 1.816767930984497,
|
166 |
+
"learning_rate": 4.9824791655633676e-05,
|
167 |
+
"loss": 0.7753,
|
168 |
+
"num_input_tokens_seen": 466128,
|
169 |
+
"step": 100
|
170 |
+
}
|
171 |
+
],
|
172 |
+
"logging_steps": 5,
|
173 |
+
"max_steps": 2652,
|
174 |
+
"num_input_tokens_seen": 466128,
|
175 |
+
"num_train_epochs": 2,
|
176 |
+
"save_steps": 100,
|
177 |
+
"stateful_callbacks": {
|
178 |
+
"TrainerControl": {
|
179 |
+
"args": {
|
180 |
+
"should_epoch_stop": false,
|
181 |
+
"should_evaluate": false,
|
182 |
+
"should_log": false,
|
183 |
+
"should_save": true,
|
184 |
+
"should_training_stop": false
|
185 |
+
},
|
186 |
+
"attributes": {}
|
187 |
+
}
|
188 |
+
},
|
189 |
+
"total_flos": 5551148989661184.0,
|
190 |
+
"train_batch_size": 2,
|
191 |
+
"trial_name": null,
|
192 |
+
"trial_params": null
|
193 |
+
}
|
checkpoint-100/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6bf99f8ecb93d0984855985ecc167fffba04c8ce699d07d18cdb046fa7a5cdf
|
3 |
+
size 5432
|
checkpoint-100/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1000/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: Qwen/Qwen2-VL-2B-Instruct
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.12.0
|
checkpoint-1000/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": "^(?!.*visual).*(?:up_proj|k_proj|down_proj|gate_proj|v_proj|o_proj|q_proj).*",
|
23 |
+
"task_type": "CAUSAL_LM",
|
24 |
+
"use_dora": false,
|
25 |
+
"use_rslora": false
|
26 |
+
}
|
checkpoint-1000/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9d87c4e57ceafc9783ccc11f1f202efd7aeca71675895b7cc8e49b1ee5e4fef
|
3 |
+
size 36981072
|
checkpoint-1000/added_tokens.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|box_end|>": 151649,
|
3 |
+
"<|box_start|>": 151648,
|
4 |
+
"<|endoftext|>": 151643,
|
5 |
+
"<|im_end|>": 151645,
|
6 |
+
"<|im_start|>": 151644,
|
7 |
+
"<|image_pad|>": 151655,
|
8 |
+
"<|object_ref_end|>": 151647,
|
9 |
+
"<|object_ref_start|>": 151646,
|
10 |
+
"<|quad_end|>": 151651,
|
11 |
+
"<|quad_start|>": 151650,
|
12 |
+
"<|video_pad|>": 151656,
|
13 |
+
"<|vision_end|>": 151653,
|
14 |
+
"<|vision_pad|>": 151654,
|
15 |
+
"<|vision_start|>": 151652
|
16 |
+
}
|
checkpoint-1000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3a933abd08ea87288c5132d3fe87c6115c2966b41cabf2c0bce9ec3a63eda4f9
|
3 |
+
size 74188650
|
checkpoint-1000/preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": true,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.48145466,
|
8 |
+
0.4578275,
|
9 |
+
0.40821073
|
10 |
+
],
|
11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.26862954,
|
14 |
+
0.26130258,
|
15 |
+
0.27577711
|
16 |
+
],
|
17 |
+
"max_pixels": 12845056,
|
18 |
+
"merge_size": 2,
|
19 |
+
"min_pixels": 3136,
|
20 |
+
"patch_size": 14,
|
21 |
+
"processor_class": "Qwen2VLProcessor",
|
22 |
+
"resample": 3,
|
23 |
+
"rescale_factor": 0.00392156862745098,
|
24 |
+
"size": {
|
25 |
+
"max_pixels": 12845056,
|
26 |
+
"min_pixels": 3136
|
27 |
+
},
|
28 |
+
"temporal_patch_size": 2
|
29 |
+
}
|
checkpoint-1000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
3 |
+
size 14244
|
checkpoint-1000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62c935d258fa5bcd6c5d72e9be9218e57817f41cd759802411dd3da87e1a3ff7
|
3 |
+
size 1064
|
checkpoint-1000/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-1000/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
|
3 |
+
size 11420371
|
checkpoint-1000/tokenizer_config.json
ADDED
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"151646": {
|
29 |
+
"content": "<|object_ref_start|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"151647": {
|
37 |
+
"content": "<|object_ref_end|>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"151648": {
|
45 |
+
"content": "<|box_start|>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"151649": {
|
53 |
+
"content": "<|box_end|>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"151650": {
|
61 |
+
"content": "<|quad_start|>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"151651": {
|
69 |
+
"content": "<|quad_end|>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"151652": {
|
77 |
+
"content": "<|vision_start|>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"151653": {
|
85 |
+
"content": "<|vision_end|>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"151654": {
|
93 |
+
"content": "<|vision_pad|>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"151655": {
|
101 |
+
"content": "<|image_pad|>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"151656": {
|
109 |
+
"content": "<|video_pad|>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
}
|
116 |
+
},
|
117 |
+
"additional_special_tokens": [
|
118 |
+
"<|im_start|>",
|
119 |
+
"<|im_end|>",
|
120 |
+
"<|object_ref_start|>",
|
121 |
+
"<|object_ref_end|>",
|
122 |
+
"<|box_start|>",
|
123 |
+
"<|box_end|>",
|
124 |
+
"<|quad_start|>",
|
125 |
+
"<|quad_end|>",
|
126 |
+
"<|vision_start|>",
|
127 |
+
"<|vision_end|>",
|
128 |
+
"<|vision_pad|>",
|
129 |
+
"<|image_pad|>",
|
130 |
+
"<|video_pad|>"
|
131 |
+
],
|
132 |
+
"bos_token": null,
|
133 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
134 |
+
"clean_up_tokenization_spaces": false,
|
135 |
+
"eos_token": "<|im_end|>",
|
136 |
+
"errors": "replace",
|
137 |
+
"model_max_length": 32768,
|
138 |
+
"pad_token": "<|endoftext|>",
|
139 |
+
"padding_side": "right",
|
140 |
+
"split_special_tokens": false,
|
141 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
142 |
+
"unk_token": null
|
143 |
+
}
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,1633 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.7538635506973238,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.003769317753486619,
|
13 |
+
"grad_norm": 2.665037155151367,
|
14 |
+
"learning_rate": 4.999956146783009e-05,
|
15 |
+
"loss": 1.564,
|
16 |
+
"num_input_tokens_seen": 23856,
|
17 |
+
"step": 5
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.007538635506973238,
|
21 |
+
"grad_norm": 1.4514005184173584,
|
22 |
+
"learning_rate": 4.9998245886705174e-05,
|
23 |
+
"loss": 0.968,
|
24 |
+
"num_input_tokens_seen": 47584,
|
25 |
+
"step": 10
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0.011307953260459858,
|
29 |
+
"grad_norm": 2.0009350776672363,
|
30 |
+
"learning_rate": 4.999605330277923e-05,
|
31 |
+
"loss": 0.9879,
|
32 |
+
"num_input_tokens_seen": 70864,
|
33 |
+
"step": 15
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.015077271013946476,
|
37 |
+
"grad_norm": 1.2164318561553955,
|
38 |
+
"learning_rate": 4.999298379297376e-05,
|
39 |
+
"loss": 1.073,
|
40 |
+
"num_input_tokens_seen": 94192,
|
41 |
+
"step": 20
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.018846588767433094,
|
45 |
+
"grad_norm": 2.2099952697753906,
|
46 |
+
"learning_rate": 4.998903746497505e-05,
|
47 |
+
"loss": 0.8549,
|
48 |
+
"num_input_tokens_seen": 117472,
|
49 |
+
"step": 25
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.022615906520919715,
|
53 |
+
"grad_norm": 1.6259618997573853,
|
54 |
+
"learning_rate": 4.998421445723046e-05,
|
55 |
+
"loss": 0.8704,
|
56 |
+
"num_input_tokens_seen": 140704,
|
57 |
+
"step": 30
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.026385224274406333,
|
61 |
+
"grad_norm": 1.7849559783935547,
|
62 |
+
"learning_rate": 4.997851493894349e-05,
|
63 |
+
"loss": 0.9786,
|
64 |
+
"num_input_tokens_seen": 163680,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03015454202789295,
|
69 |
+
"grad_norm": 1.8650152683258057,
|
70 |
+
"learning_rate": 4.997193911006793e-05,
|
71 |
+
"loss": 0.8356,
|
72 |
+
"num_input_tokens_seen": 187072,
|
73 |
+
"step": 40
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.03392385978137957,
|
77 |
+
"grad_norm": 1.681622862815857,
|
78 |
+
"learning_rate": 4.996448720130077e-05,
|
79 |
+
"loss": 0.778,
|
80 |
+
"num_input_tokens_seen": 211040,
|
81 |
+
"step": 45
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.03769317753486619,
|
85 |
+
"grad_norm": 1.6398649215698242,
|
86 |
+
"learning_rate": 4.995615947407415e-05,
|
87 |
+
"loss": 0.939,
|
88 |
+
"num_input_tokens_seen": 234560,
|
89 |
+
"step": 50
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.04146249528835281,
|
93 |
+
"grad_norm": 2.327622890472412,
|
94 |
+
"learning_rate": 4.994695622054618e-05,
|
95 |
+
"loss": 1.0274,
|
96 |
+
"num_input_tokens_seen": 257632,
|
97 |
+
"step": 55
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.04523181304183943,
|
101 |
+
"grad_norm": 2.6391327381134033,
|
102 |
+
"learning_rate": 4.9936877763590664e-05,
|
103 |
+
"loss": 0.8822,
|
104 |
+
"num_input_tokens_seen": 281024,
|
105 |
+
"step": 60
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.049001130795326045,
|
109 |
+
"grad_norm": 1.8776222467422485,
|
110 |
+
"learning_rate": 4.992592445678582e-05,
|
111 |
+
"loss": 0.8146,
|
112 |
+
"num_input_tokens_seen": 304688,
|
113 |
+
"step": 65
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.052770448548812667,
|
117 |
+
"grad_norm": 1.6592698097229004,
|
118 |
+
"learning_rate": 4.991409668440185e-05,
|
119 |
+
"loss": 0.9989,
|
120 |
+
"num_input_tokens_seen": 327424,
|
121 |
+
"step": 70
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.05653976630229928,
|
125 |
+
"grad_norm": 1.709376335144043,
|
126 |
+
"learning_rate": 4.990139486138743e-05,
|
127 |
+
"loss": 0.9344,
|
128 |
+
"num_input_tokens_seen": 350528,
|
129 |
+
"step": 75
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.0603090840557859,
|
133 |
+
"grad_norm": 1.3547413349151611,
|
134 |
+
"learning_rate": 4.988781943335521e-05,
|
135 |
+
"loss": 0.7932,
|
136 |
+
"num_input_tokens_seen": 373280,
|
137 |
+
"step": 80
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.06407840180927252,
|
141 |
+
"grad_norm": 1.3162572383880615,
|
142 |
+
"learning_rate": 4.987337087656614e-05,
|
143 |
+
"loss": 0.9445,
|
144 |
+
"num_input_tokens_seen": 395856,
|
145 |
+
"step": 85
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.06784771956275915,
|
149 |
+
"grad_norm": 1.8211767673492432,
|
150 |
+
"learning_rate": 4.985804969791279e-05,
|
151 |
+
"loss": 0.7369,
|
152 |
+
"num_input_tokens_seen": 418704,
|
153 |
+
"step": 90
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.07161703731624576,
|
157 |
+
"grad_norm": 1.552996039390564,
|
158 |
+
"learning_rate": 4.984185643490151e-05,
|
159 |
+
"loss": 1.0226,
|
160 |
+
"num_input_tokens_seen": 442432,
|
161 |
+
"step": 95
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.07538635506973237,
|
165 |
+
"grad_norm": 1.816767930984497,
|
166 |
+
"learning_rate": 4.9824791655633676e-05,
|
167 |
+
"loss": 0.7753,
|
168 |
+
"num_input_tokens_seen": 466128,
|
169 |
+
"step": 100
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.079155672823219,
|
173 |
+
"grad_norm": 1.6724802255630493,
|
174 |
+
"learning_rate": 4.9806855958785625e-05,
|
175 |
+
"loss": 0.8278,
|
176 |
+
"num_input_tokens_seen": 489536,
|
177 |
+
"step": 105
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.08292499057670562,
|
181 |
+
"grad_norm": 2.187622308731079,
|
182 |
+
"learning_rate": 4.978804997358779e-05,
|
183 |
+
"loss": 0.8432,
|
184 |
+
"num_input_tokens_seen": 513200,
|
185 |
+
"step": 110
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.08669430833019223,
|
189 |
+
"grad_norm": 1.500815987586975,
|
190 |
+
"learning_rate": 4.9768374359802525e-05,
|
191 |
+
"loss": 0.9649,
|
192 |
+
"num_input_tokens_seen": 536432,
|
193 |
+
"step": 115
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.09046362608367886,
|
197 |
+
"grad_norm": 1.6637320518493652,
|
198 |
+
"learning_rate": 4.9747829807701e-05,
|
199 |
+
"loss": 0.8249,
|
200 |
+
"num_input_tokens_seen": 559776,
|
201 |
+
"step": 120
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.09423294383716548,
|
205 |
+
"grad_norm": 1.5978686809539795,
|
206 |
+
"learning_rate": 4.972641703803896e-05,
|
207 |
+
"loss": 0.9157,
|
208 |
+
"num_input_tokens_seen": 583248,
|
209 |
+
"step": 125
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.09800226159065209,
|
213 |
+
"grad_norm": 1.4269095659255981,
|
214 |
+
"learning_rate": 4.9704136802031485e-05,
|
215 |
+
"loss": 0.885,
|
216 |
+
"num_input_tokens_seen": 606768,
|
217 |
+
"step": 130
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.1017715793441387,
|
221 |
+
"grad_norm": 1.6915644407272339,
|
222 |
+
"learning_rate": 4.96809898813266e-05,
|
223 |
+
"loss": 0.8736,
|
224 |
+
"num_input_tokens_seen": 630896,
|
225 |
+
"step": 135
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.10554089709762533,
|
229 |
+
"grad_norm": 1.6915837526321411,
|
230 |
+
"learning_rate": 4.965697708797784e-05,
|
231 |
+
"loss": 0.7312,
|
232 |
+
"num_input_tokens_seen": 654320,
|
233 |
+
"step": 140
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.10931021485111195,
|
237 |
+
"grad_norm": 1.921988606452942,
|
238 |
+
"learning_rate": 4.963209926441581e-05,
|
239 |
+
"loss": 0.9478,
|
240 |
+
"num_input_tokens_seen": 677248,
|
241 |
+
"step": 145
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.11307953260459856,
|
245 |
+
"grad_norm": 2.241665840148926,
|
246 |
+
"learning_rate": 4.9606357283418575e-05,
|
247 |
+
"loss": 0.9174,
|
248 |
+
"num_input_tokens_seen": 700672,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.11684885035808519,
|
253 |
+
"grad_norm": 2.076327323913574,
|
254 |
+
"learning_rate": 4.957975204808108e-05,
|
255 |
+
"loss": 0.8453,
|
256 |
+
"num_input_tokens_seen": 724480,
|
257 |
+
"step": 155
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.1206181681115718,
|
261 |
+
"grad_norm": 1.5655834674835205,
|
262 |
+
"learning_rate": 4.955228449178345e-05,
|
263 |
+
"loss": 0.701,
|
264 |
+
"num_input_tokens_seen": 748144,
|
265 |
+
"step": 160
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.12438748586505842,
|
269 |
+
"grad_norm": 1.8062623739242554,
|
270 |
+
"learning_rate": 4.952395557815826e-05,
|
271 |
+
"loss": 0.7981,
|
272 |
+
"num_input_tokens_seen": 771584,
|
273 |
+
"step": 165
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.12815680361854503,
|
277 |
+
"grad_norm": 2.2940807342529297,
|
278 |
+
"learning_rate": 4.949476630105669e-05,
|
279 |
+
"loss": 0.8824,
|
280 |
+
"num_input_tokens_seen": 795248,
|
281 |
+
"step": 170
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.13192612137203166,
|
285 |
+
"grad_norm": 2.108461856842041,
|
286 |
+
"learning_rate": 4.9464717684513726e-05,
|
287 |
+
"loss": 0.8368,
|
288 |
+
"num_input_tokens_seen": 818272,
|
289 |
+
"step": 175
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.1356954391255183,
|
293 |
+
"grad_norm": 1.5639266967773438,
|
294 |
+
"learning_rate": 4.943381078271214e-05,
|
295 |
+
"loss": 0.951,
|
296 |
+
"num_input_tokens_seen": 841440,
|
297 |
+
"step": 180
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.1394647568790049,
|
301 |
+
"grad_norm": 1.4479436874389648,
|
302 |
+
"learning_rate": 4.9402046679945613e-05,
|
303 |
+
"loss": 0.8697,
|
304 |
+
"num_input_tokens_seen": 864640,
|
305 |
+
"step": 185
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.14323407463249152,
|
309 |
+
"grad_norm": 1.8331745862960815,
|
310 |
+
"learning_rate": 4.936942649058061e-05,
|
311 |
+
"loss": 0.7765,
|
312 |
+
"num_input_tokens_seen": 888032,
|
313 |
+
"step": 190
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.14700339238597815,
|
317 |
+
"grad_norm": 1.6916519403457642,
|
318 |
+
"learning_rate": 4.933595135901732e-05,
|
319 |
+
"loss": 0.778,
|
320 |
+
"num_input_tokens_seen": 911008,
|
321 |
+
"step": 195
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.15077271013946475,
|
325 |
+
"grad_norm": 2.0202736854553223,
|
326 |
+
"learning_rate": 4.930162245964952e-05,
|
327 |
+
"loss": 0.8926,
|
328 |
+
"num_input_tokens_seen": 934432,
|
329 |
+
"step": 200
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.15454202789295138,
|
333 |
+
"grad_norm": 1.8288179636001587,
|
334 |
+
"learning_rate": 4.926644099682334e-05,
|
335 |
+
"loss": 0.805,
|
336 |
+
"num_input_tokens_seen": 958064,
|
337 |
+
"step": 205
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.158311345646438,
|
341 |
+
"grad_norm": 1.9957374334335327,
|
342 |
+
"learning_rate": 4.9230408204795034e-05,
|
343 |
+
"loss": 0.8433,
|
344 |
+
"num_input_tokens_seen": 980992,
|
345 |
+
"step": 210
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.1620806633999246,
|
349 |
+
"grad_norm": 1.5921601057052612,
|
350 |
+
"learning_rate": 4.9193525347687696e-05,
|
351 |
+
"loss": 0.8483,
|
352 |
+
"num_input_tokens_seen": 1004736,
|
353 |
+
"step": 215
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.16584998115341124,
|
357 |
+
"grad_norm": 2.1509461402893066,
|
358 |
+
"learning_rate": 4.9155793719446863e-05,
|
359 |
+
"loss": 0.9689,
|
360 |
+
"num_input_tokens_seen": 1028320,
|
361 |
+
"step": 220
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.16961929890689786,
|
365 |
+
"grad_norm": 1.9183369874954224,
|
366 |
+
"learning_rate": 4.911721464379516e-05,
|
367 |
+
"loss": 0.9025,
|
368 |
+
"num_input_tokens_seen": 1051696,
|
369 |
+
"step": 225
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.17338861666038446,
|
373 |
+
"grad_norm": 1.5253652334213257,
|
374 |
+
"learning_rate": 4.907778947418585e-05,
|
375 |
+
"loss": 0.8423,
|
376 |
+
"num_input_tokens_seen": 1074640,
|
377 |
+
"step": 230
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.1771579344138711,
|
381 |
+
"grad_norm": 1.917833924293518,
|
382 |
+
"learning_rate": 4.9037519593755356e-05,
|
383 |
+
"loss": 0.968,
|
384 |
+
"num_input_tokens_seen": 1098096,
|
385 |
+
"step": 235
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 0.18092725216735772,
|
389 |
+
"grad_norm": 1.8350000381469727,
|
390 |
+
"learning_rate": 4.89964064152747e-05,
|
391 |
+
"loss": 0.8118,
|
392 |
+
"num_input_tokens_seen": 1121344,
|
393 |
+
"step": 240
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.18469656992084432,
|
397 |
+
"grad_norm": 1.4250982999801636,
|
398 |
+
"learning_rate": 4.895445138110001e-05,
|
399 |
+
"loss": 0.8695,
|
400 |
+
"num_input_tokens_seen": 1144608,
|
401 |
+
"step": 245
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.18846588767433095,
|
405 |
+
"grad_norm": 3.1919894218444824,
|
406 |
+
"learning_rate": 4.891165596312186e-05,
|
407 |
+
"loss": 0.9135,
|
408 |
+
"num_input_tokens_seen": 1168112,
|
409 |
+
"step": 250
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.19223520542781755,
|
413 |
+
"grad_norm": 2.4486422538757324,
|
414 |
+
"learning_rate": 4.886802166271364e-05,
|
415 |
+
"loss": 0.798,
|
416 |
+
"num_input_tokens_seen": 1190992,
|
417 |
+
"step": 255
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.19600452318130418,
|
421 |
+
"grad_norm": 1.6712846755981445,
|
422 |
+
"learning_rate": 4.882355001067892e-05,
|
423 |
+
"loss": 0.8068,
|
424 |
+
"num_input_tokens_seen": 1214832,
|
425 |
+
"step": 260
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.1997738409347908,
|
429 |
+
"grad_norm": 2.27498197555542,
|
430 |
+
"learning_rate": 4.8778242567197685e-05,
|
431 |
+
"loss": 0.7621,
|
432 |
+
"num_input_tokens_seen": 1238080,
|
433 |
+
"step": 265
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.2035431586882774,
|
437 |
+
"grad_norm": 1.8954802751541138,
|
438 |
+
"learning_rate": 4.873210092177167e-05,
|
439 |
+
"loss": 0.7604,
|
440 |
+
"num_input_tokens_seen": 1261056,
|
441 |
+
"step": 270
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.20731247644176404,
|
445 |
+
"grad_norm": 2.805199146270752,
|
446 |
+
"learning_rate": 4.868512669316855e-05,
|
447 |
+
"loss": 0.9166,
|
448 |
+
"num_input_tokens_seen": 1283968,
|
449 |
+
"step": 275
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.21108179419525067,
|
453 |
+
"grad_norm": 1.6355040073394775,
|
454 |
+
"learning_rate": 4.863732152936514e-05,
|
455 |
+
"loss": 0.8487,
|
456 |
+
"num_input_tokens_seen": 1308192,
|
457 |
+
"step": 280
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.21485111194873727,
|
461 |
+
"grad_norm": 1.5382211208343506,
|
462 |
+
"learning_rate": 4.858868710748963e-05,
|
463 |
+
"loss": 0.9388,
|
464 |
+
"num_input_tokens_seen": 1331648,
|
465 |
+
"step": 285
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.2186204297022239,
|
469 |
+
"grad_norm": 4.8234052658081055,
|
470 |
+
"learning_rate": 4.85392251337627e-05,
|
471 |
+
"loss": 0.8762,
|
472 |
+
"num_input_tokens_seen": 1354880,
|
473 |
+
"step": 290
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.22238974745571052,
|
477 |
+
"grad_norm": 1.7781318426132202,
|
478 |
+
"learning_rate": 4.848893734343769e-05,
|
479 |
+
"loss": 0.8672,
|
480 |
+
"num_input_tokens_seen": 1378064,
|
481 |
+
"step": 295
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.22615906520919712,
|
485 |
+
"grad_norm": 1.4167485237121582,
|
486 |
+
"learning_rate": 4.8437825500739696e-05,
|
487 |
+
"loss": 0.9335,
|
488 |
+
"num_input_tokens_seen": 1401568,
|
489 |
+
"step": 300
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.22992838296268375,
|
493 |
+
"grad_norm": 1.112923502922058,
|
494 |
+
"learning_rate": 4.838589139880371e-05,
|
495 |
+
"loss": 0.7408,
|
496 |
+
"num_input_tokens_seen": 1424960,
|
497 |
+
"step": 305
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.23369770071617038,
|
501 |
+
"grad_norm": 1.789054274559021,
|
502 |
+
"learning_rate": 4.833313685961167e-05,
|
503 |
+
"loss": 0.7255,
|
504 |
+
"num_input_tokens_seen": 1448560,
|
505 |
+
"step": 310
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.23746701846965698,
|
509 |
+
"grad_norm": 2.056309223175049,
|
510 |
+
"learning_rate": 4.82795637339286e-05,
|
511 |
+
"loss": 0.8214,
|
512 |
+
"num_input_tokens_seen": 1472224,
|
513 |
+
"step": 315
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.2412363362231436,
|
517 |
+
"grad_norm": 2.14561128616333,
|
518 |
+
"learning_rate": 4.822517390123761e-05,
|
519 |
+
"loss": 0.7577,
|
520 |
+
"num_input_tokens_seen": 1495232,
|
521 |
+
"step": 320
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.24500565397663024,
|
525 |
+
"grad_norm": 2.092505931854248,
|
526 |
+
"learning_rate": 4.8169969269674016e-05,
|
527 |
+
"loss": 0.7087,
|
528 |
+
"num_input_tokens_seen": 1518608,
|
529 |
+
"step": 325
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.24877497173011684,
|
533 |
+
"grad_norm": 3.2833504676818848,
|
534 |
+
"learning_rate": 4.811395177595836e-05,
|
535 |
+
"loss": 0.8798,
|
536 |
+
"num_input_tokens_seen": 1541552,
|
537 |
+
"step": 330
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.25254428948360347,
|
541 |
+
"grad_norm": 3.2298083305358887,
|
542 |
+
"learning_rate": 4.8057123385328495e-05,
|
543 |
+
"loss": 0.8511,
|
544 |
+
"num_input_tokens_seen": 1565136,
|
545 |
+
"step": 335
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.25631360723709007,
|
549 |
+
"grad_norm": 3.187859296798706,
|
550 |
+
"learning_rate": 4.799948609147061e-05,
|
551 |
+
"loss": 0.8655,
|
552 |
+
"num_input_tokens_seen": 1588624,
|
553 |
+
"step": 340
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.2600829249905767,
|
557 |
+
"grad_norm": 1.7054897546768188,
|
558 |
+
"learning_rate": 4.7941041916449316e-05,
|
559 |
+
"loss": 0.7643,
|
560 |
+
"num_input_tokens_seen": 1612016,
|
561 |
+
"step": 345
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.2638522427440633,
|
565 |
+
"grad_norm": 2.040390729904175,
|
566 |
+
"learning_rate": 4.788179291063667e-05,
|
567 |
+
"loss": 0.8325,
|
568 |
+
"num_input_tokens_seen": 1635856,
|
569 |
+
"step": 350
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.2676215604975499,
|
573 |
+
"grad_norm": 1.6121920347213745,
|
574 |
+
"learning_rate": 4.78217411526403e-05,
|
575 |
+
"loss": 0.6917,
|
576 |
+
"num_input_tokens_seen": 1659168,
|
577 |
+
"step": 355
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.2713908782510366,
|
581 |
+
"grad_norm": 1.7065237760543823,
|
582 |
+
"learning_rate": 4.7760888749230416e-05,
|
583 |
+
"loss": 0.9086,
|
584 |
+
"num_input_tokens_seen": 1682480,
|
585 |
+
"step": 360
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.2751601960045232,
|
589 |
+
"grad_norm": 2.437305212020874,
|
590 |
+
"learning_rate": 4.769923783526593e-05,
|
591 |
+
"loss": 0.9648,
|
592 |
+
"num_input_tokens_seen": 1705952,
|
593 |
+
"step": 365
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.2789295137580098,
|
597 |
+
"grad_norm": 1.7989013195037842,
|
598 |
+
"learning_rate": 4.7636790573619586e-05,
|
599 |
+
"loss": 0.8712,
|
600 |
+
"num_input_tokens_seen": 1729504,
|
601 |
+
"step": 370
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.28269883151149644,
|
605 |
+
"grad_norm": 1.2867515087127686,
|
606 |
+
"learning_rate": 4.7573549155102014e-05,
|
607 |
+
"loss": 0.7044,
|
608 |
+
"num_input_tokens_seen": 1752784,
|
609 |
+
"step": 375
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.28646814926498304,
|
613 |
+
"grad_norm": 1.7485004663467407,
|
614 |
+
"learning_rate": 4.7509515798384956e-05,
|
615 |
+
"loss": 0.92,
|
616 |
+
"num_input_tokens_seen": 1775840,
|
617 |
+
"step": 380
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.29023746701846964,
|
621 |
+
"grad_norm": 1.8417341709136963,
|
622 |
+
"learning_rate": 4.7444692749923345e-05,
|
623 |
+
"loss": 0.7396,
|
624 |
+
"num_input_tokens_seen": 1798944,
|
625 |
+
"step": 385
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.2940067847719563,
|
629 |
+
"grad_norm": 1.755854606628418,
|
630 |
+
"learning_rate": 4.7379082283876566e-05,
|
631 |
+
"loss": 0.8619,
|
632 |
+
"num_input_tokens_seen": 1822016,
|
633 |
+
"step": 390
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.2977761025254429,
|
637 |
+
"grad_norm": 1.924985408782959,
|
638 |
+
"learning_rate": 4.73126867020286e-05,
|
639 |
+
"loss": 0.7399,
|
640 |
+
"num_input_tokens_seen": 1845584,
|
641 |
+
"step": 395
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.3015454202789295,
|
645 |
+
"grad_norm": 2.078490972518921,
|
646 |
+
"learning_rate": 4.724550833370735e-05,
|
647 |
+
"loss": 0.7882,
|
648 |
+
"num_input_tokens_seen": 1868976,
|
649 |
+
"step": 400
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.30531473803241616,
|
653 |
+
"grad_norm": 1.7066706418991089,
|
654 |
+
"learning_rate": 4.717754953570286e-05,
|
655 |
+
"loss": 0.7579,
|
656 |
+
"num_input_tokens_seen": 1892096,
|
657 |
+
"step": 405
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.30908405578590276,
|
661 |
+
"grad_norm": 1.5587912797927856,
|
662 |
+
"learning_rate": 4.710881269218467e-05,
|
663 |
+
"loss": 0.8531,
|
664 |
+
"num_input_tokens_seen": 1915136,
|
665 |
+
"step": 410
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.31285337353938936,
|
669 |
+
"grad_norm": 2.13066029548645,
|
670 |
+
"learning_rate": 4.7039300214618134e-05,
|
671 |
+
"loss": 0.8279,
|
672 |
+
"num_input_tokens_seen": 1938464,
|
673 |
+
"step": 415
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.316622691292876,
|
677 |
+
"grad_norm": 1.6272748708724976,
|
678 |
+
"learning_rate": 4.696901454167988e-05,
|
679 |
+
"loss": 0.9496,
|
680 |
+
"num_input_tokens_seen": 1961696,
|
681 |
+
"step": 420
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.3203920090463626,
|
685 |
+
"grad_norm": 1.9481947422027588,
|
686 |
+
"learning_rate": 4.68979581391722e-05,
|
687 |
+
"loss": 0.7804,
|
688 |
+
"num_input_tokens_seen": 1985072,
|
689 |
+
"step": 425
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.3241613267998492,
|
693 |
+
"grad_norm": 2.0169599056243896,
|
694 |
+
"learning_rate": 4.682613349993655e-05,
|
695 |
+
"loss": 0.8848,
|
696 |
+
"num_input_tokens_seen": 2007936,
|
697 |
+
"step": 430
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.32793064455333587,
|
701 |
+
"grad_norm": 2.285831928253174,
|
702 |
+
"learning_rate": 4.675354314376614e-05,
|
703 |
+
"loss": 0.7155,
|
704 |
+
"num_input_tokens_seen": 2031280,
|
705 |
+
"step": 435
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.33169996230682247,
|
709 |
+
"grad_norm": 1.7333121299743652,
|
710 |
+
"learning_rate": 4.6680189617317474e-05,
|
711 |
+
"loss": 0.7408,
|
712 |
+
"num_input_tokens_seen": 2054176,
|
713 |
+
"step": 440
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.33546928006030907,
|
717 |
+
"grad_norm": 1.5312005281448364,
|
718 |
+
"learning_rate": 4.660607549402103e-05,
|
719 |
+
"loss": 0.6917,
|
720 |
+
"num_input_tokens_seen": 2077392,
|
721 |
+
"step": 445
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 0.33923859781379573,
|
725 |
+
"grad_norm": 1.2847707271575928,
|
726 |
+
"learning_rate": 4.6531203373991014e-05,
|
727 |
+
"loss": 0.8376,
|
728 |
+
"num_input_tokens_seen": 2100464,
|
729 |
+
"step": 450
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.34300791556728233,
|
733 |
+
"grad_norm": 2.3927323818206787,
|
734 |
+
"learning_rate": 4.645557588393407e-05,
|
735 |
+
"loss": 0.7672,
|
736 |
+
"num_input_tokens_seen": 2124240,
|
737 |
+
"step": 455
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.34677723332076893,
|
741 |
+
"grad_norm": 1.467666506767273,
|
742 |
+
"learning_rate": 4.63791956770572e-05,
|
743 |
+
"loss": 0.7285,
|
744 |
+
"num_input_tokens_seen": 2147584,
|
745 |
+
"step": 460
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.3505465510742556,
|
749 |
+
"grad_norm": 2.08063006401062,
|
750 |
+
"learning_rate": 4.6302065432974616e-05,
|
751 |
+
"loss": 0.8577,
|
752 |
+
"num_input_tokens_seen": 2170976,
|
753 |
+
"step": 465
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.3543158688277422,
|
757 |
+
"grad_norm": 2.0516254901885986,
|
758 |
+
"learning_rate": 4.6224187857613786e-05,
|
759 |
+
"loss": 0.8195,
|
760 |
+
"num_input_tokens_seen": 2194128,
|
761 |
+
"step": 470
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.3580851865812288,
|
765 |
+
"grad_norm": 1.4173938035964966,
|
766 |
+
"learning_rate": 4.6145565683120496e-05,
|
767 |
+
"loss": 0.878,
|
768 |
+
"num_input_tokens_seen": 2217056,
|
769 |
+
"step": 475
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.36185450433471544,
|
773 |
+
"grad_norm": 2.968780517578125,
|
774 |
+
"learning_rate": 4.606620166776294e-05,
|
775 |
+
"loss": 0.8187,
|
776 |
+
"num_input_tokens_seen": 2240800,
|
777 |
+
"step": 480
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.36562382208820204,
|
781 |
+
"grad_norm": 2.426954507827759,
|
782 |
+
"learning_rate": 4.598609859583506e-05,
|
783 |
+
"loss": 0.7713,
|
784 |
+
"num_input_tokens_seen": 2263984,
|
785 |
+
"step": 485
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.36939313984168864,
|
789 |
+
"grad_norm": 1.7469669580459595,
|
790 |
+
"learning_rate": 4.590525927755874e-05,
|
791 |
+
"loss": 0.8583,
|
792 |
+
"num_input_tokens_seen": 2287776,
|
793 |
+
"step": 490
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.3731624575951753,
|
797 |
+
"grad_norm": 4.131247043609619,
|
798 |
+
"learning_rate": 4.582368654898533e-05,
|
799 |
+
"loss": 0.8106,
|
800 |
+
"num_input_tokens_seen": 2311072,
|
801 |
+
"step": 495
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.3769317753486619,
|
805 |
+
"grad_norm": 2.013920545578003,
|
806 |
+
"learning_rate": 4.5741383271896094e-05,
|
807 |
+
"loss": 0.8578,
|
808 |
+
"num_input_tokens_seen": 2334768,
|
809 |
+
"step": 500
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.3807010931021485,
|
813 |
+
"grad_norm": 2.0032143592834473,
|
814 |
+
"learning_rate": 4.565835233370178e-05,
|
815 |
+
"loss": 0.7192,
|
816 |
+
"num_input_tokens_seen": 2358272,
|
817 |
+
"step": 505
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.3844704108556351,
|
821 |
+
"grad_norm": 1.9632434844970703,
|
822 |
+
"learning_rate": 4.557459664734141e-05,
|
823 |
+
"loss": 0.8681,
|
824 |
+
"num_input_tokens_seen": 2381440,
|
825 |
+
"step": 510
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.38823972860912176,
|
829 |
+
"grad_norm": 3.1098926067352295,
|
830 |
+
"learning_rate": 4.549011915118001e-05,
|
831 |
+
"loss": 0.6713,
|
832 |
+
"num_input_tokens_seen": 2403984,
|
833 |
+
"step": 515
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.39200904636260836,
|
837 |
+
"grad_norm": 2.1910107135772705,
|
838 |
+
"learning_rate": 4.540492280890555e-05,
|
839 |
+
"loss": 0.7997,
|
840 |
+
"num_input_tokens_seen": 2427392,
|
841 |
+
"step": 520
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.39577836411609496,
|
845 |
+
"grad_norm": 2.5994174480438232,
|
846 |
+
"learning_rate": 4.531901060942497e-05,
|
847 |
+
"loss": 0.8715,
|
848 |
+
"num_input_tokens_seen": 2450384,
|
849 |
+
"step": 525
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.3995476818695816,
|
853 |
+
"grad_norm": 2.206372022628784,
|
854 |
+
"learning_rate": 4.523238556675935e-05,
|
855 |
+
"loss": 0.6608,
|
856 |
+
"num_input_tokens_seen": 2473424,
|
857 |
+
"step": 530
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.4033169996230682,
|
861 |
+
"grad_norm": 2.1349329948425293,
|
862 |
+
"learning_rate": 4.514505071993812e-05,
|
863 |
+
"loss": 0.7568,
|
864 |
+
"num_input_tokens_seen": 2497232,
|
865 |
+
"step": 535
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.4070863173765548,
|
869 |
+
"grad_norm": 2.0707926750183105,
|
870 |
+
"learning_rate": 4.505700913289246e-05,
|
871 |
+
"loss": 0.8325,
|
872 |
+
"num_input_tokens_seen": 2520432,
|
873 |
+
"step": 540
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.4108556351300415,
|
877 |
+
"grad_norm": 1.6440961360931396,
|
878 |
+
"learning_rate": 4.496826389434784e-05,
|
879 |
+
"loss": 0.8083,
|
880 |
+
"num_input_tokens_seen": 2543616,
|
881 |
+
"step": 545
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.4146249528835281,
|
885 |
+
"grad_norm": 2.5610768795013428,
|
886 |
+
"learning_rate": 4.48788181177156e-05,
|
887 |
+
"loss": 0.7702,
|
888 |
+
"num_input_tokens_seen": 2566992,
|
889 |
+
"step": 550
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 0.4183942706370147,
|
893 |
+
"grad_norm": 2.882587432861328,
|
894 |
+
"learning_rate": 4.478867494098381e-05,
|
895 |
+
"loss": 0.6993,
|
896 |
+
"num_input_tokens_seen": 2590144,
|
897 |
+
"step": 555
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.42216358839050133,
|
901 |
+
"grad_norm": 2.3161754608154297,
|
902 |
+
"learning_rate": 4.469783752660709e-05,
|
903 |
+
"loss": 0.8109,
|
904 |
+
"num_input_tokens_seen": 2614240,
|
905 |
+
"step": 560
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.42593290614398793,
|
909 |
+
"grad_norm": 2.578278064727783,
|
910 |
+
"learning_rate": 4.460630906139571e-05,
|
911 |
+
"loss": 0.7901,
|
912 |
+
"num_input_tokens_seen": 2637696,
|
913 |
+
"step": 565
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.42970222389747453,
|
917 |
+
"grad_norm": 2.362873077392578,
|
918 |
+
"learning_rate": 4.451409275640379e-05,
|
919 |
+
"loss": 0.9066,
|
920 |
+
"num_input_tokens_seen": 2660768,
|
921 |
+
"step": 570
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.4334715416509612,
|
925 |
+
"grad_norm": 1.8829095363616943,
|
926 |
+
"learning_rate": 4.442119184681664e-05,
|
927 |
+
"loss": 0.703,
|
928 |
+
"num_input_tokens_seen": 2683792,
|
929 |
+
"step": 575
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.4372408594044478,
|
933 |
+
"grad_norm": 1.8470242023468018,
|
934 |
+
"learning_rate": 4.432760959183725e-05,
|
935 |
+
"loss": 0.9203,
|
936 |
+
"num_input_tokens_seen": 2707136,
|
937 |
+
"step": 580
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 0.4410101771579344,
|
941 |
+
"grad_norm": 2.575732707977295,
|
942 |
+
"learning_rate": 4.423334927457198e-05,
|
943 |
+
"loss": 0.9314,
|
944 |
+
"num_input_tokens_seen": 2729808,
|
945 |
+
"step": 585
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.44477949491142105,
|
949 |
+
"grad_norm": 1.765871524810791,
|
950 |
+
"learning_rate": 4.413841420191532e-05,
|
951 |
+
"loss": 0.7105,
|
952 |
+
"num_input_tokens_seen": 2752992,
|
953 |
+
"step": 590
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.44854881266490765,
|
957 |
+
"grad_norm": 1.8366035223007202,
|
958 |
+
"learning_rate": 4.404280770443398e-05,
|
959 |
+
"loss": 0.894,
|
960 |
+
"num_input_tokens_seen": 2776480,
|
961 |
+
"step": 595
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.45231813041839425,
|
965 |
+
"grad_norm": 2.326671838760376,
|
966 |
+
"learning_rate": 4.3946533136249926e-05,
|
967 |
+
"loss": 0.8868,
|
968 |
+
"num_input_tokens_seen": 2799728,
|
969 |
+
"step": 600
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.4560874481718809,
|
973 |
+
"grad_norm": 1.8004709482192993,
|
974 |
+
"learning_rate": 4.384959387492277e-05,
|
975 |
+
"loss": 0.7679,
|
976 |
+
"num_input_tokens_seen": 2823008,
|
977 |
+
"step": 605
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.4598567659253675,
|
981 |
+
"grad_norm": 1.893351435661316,
|
982 |
+
"learning_rate": 4.37519933213313e-05,
|
983 |
+
"loss": 0.7895,
|
984 |
+
"num_input_tokens_seen": 2845984,
|
985 |
+
"step": 610
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 0.4636260836788541,
|
989 |
+
"grad_norm": 2.1309449672698975,
|
990 |
+
"learning_rate": 4.365373489955411e-05,
|
991 |
+
"loss": 0.8527,
|
992 |
+
"num_input_tokens_seen": 2869024,
|
993 |
+
"step": 615
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.46739540143234076,
|
997 |
+
"grad_norm": 2.4292616844177246,
|
998 |
+
"learning_rate": 4.355482205674951e-05,
|
999 |
+
"loss": 0.7533,
|
1000 |
+
"num_input_tokens_seen": 2892240,
|
1001 |
+
"step": 620
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 0.47116471918582736,
|
1005 |
+
"grad_norm": 4.796603679656982,
|
1006 |
+
"learning_rate": 4.3455258263034605e-05,
|
1007 |
+
"loss": 0.8048,
|
1008 |
+
"num_input_tokens_seen": 2915792,
|
1009 |
+
"step": 625
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.47493403693931396,
|
1013 |
+
"grad_norm": 2.2890474796295166,
|
1014 |
+
"learning_rate": 4.33550470113635e-05,
|
1015 |
+
"loss": 0.7072,
|
1016 |
+
"num_input_tokens_seen": 2939488,
|
1017 |
+
"step": 630
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.4787033546928006,
|
1021 |
+
"grad_norm": 1.8012391328811646,
|
1022 |
+
"learning_rate": 4.3254191817404804e-05,
|
1023 |
+
"loss": 0.7911,
|
1024 |
+
"num_input_tokens_seen": 2962992,
|
1025 |
+
"step": 635
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.4824726724462872,
|
1029 |
+
"grad_norm": 1.8014194965362549,
|
1030 |
+
"learning_rate": 4.3152696219418295e-05,
|
1031 |
+
"loss": 0.8293,
|
1032 |
+
"num_input_tokens_seen": 2986544,
|
1033 |
+
"step": 640
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.4862419901997738,
|
1037 |
+
"grad_norm": 2.239366292953491,
|
1038 |
+
"learning_rate": 4.305056377813075e-05,
|
1039 |
+
"loss": 0.8835,
|
1040 |
+
"num_input_tokens_seen": 3009984,
|
1041 |
+
"step": 645
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.4900113079532605,
|
1045 |
+
"grad_norm": 1.5583738088607788,
|
1046 |
+
"learning_rate": 4.294779807661105e-05,
|
1047 |
+
"loss": 0.7262,
|
1048 |
+
"num_input_tokens_seen": 3033520,
|
1049 |
+
"step": 650
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 0.4937806257067471,
|
1053 |
+
"grad_norm": 1.7024521827697754,
|
1054 |
+
"learning_rate": 4.2844402720144496e-05,
|
1055 |
+
"loss": 0.8231,
|
1056 |
+
"num_input_tokens_seen": 3057056,
|
1057 |
+
"step": 655
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 0.4975499434602337,
|
1061 |
+
"grad_norm": 3.108896493911743,
|
1062 |
+
"learning_rate": 4.274038133610628e-05,
|
1063 |
+
"loss": 0.8302,
|
1064 |
+
"num_input_tokens_seen": 3080656,
|
1065 |
+
"step": 660
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.5013192612137203,
|
1069 |
+
"grad_norm": 3.166442394256592,
|
1070 |
+
"learning_rate": 4.263573757383427e-05,
|
1071 |
+
"loss": 0.8095,
|
1072 |
+
"num_input_tokens_seen": 3103792,
|
1073 |
+
"step": 665
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.5050885789672069,
|
1077 |
+
"grad_norm": 2.218747854232788,
|
1078 |
+
"learning_rate": 4.2530475104500956e-05,
|
1079 |
+
"loss": 0.8756,
|
1080 |
+
"num_input_tokens_seen": 3126976,
|
1081 |
+
"step": 670
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.5088578967206936,
|
1085 |
+
"grad_norm": 2.5289299488067627,
|
1086 |
+
"learning_rate": 4.242459762098466e-05,
|
1087 |
+
"loss": 0.7733,
|
1088 |
+
"num_input_tokens_seen": 3150224,
|
1089 |
+
"step": 675
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.5126272144741801,
|
1093 |
+
"grad_norm": 1.674834132194519,
|
1094 |
+
"learning_rate": 4.231810883773999e-05,
|
1095 |
+
"loss": 0.7715,
|
1096 |
+
"num_input_tokens_seen": 3173296,
|
1097 |
+
"step": 680
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.5163965322276668,
|
1101 |
+
"grad_norm": 1.7702105045318604,
|
1102 |
+
"learning_rate": 4.2211012490667524e-05,
|
1103 |
+
"loss": 0.6996,
|
1104 |
+
"num_input_tokens_seen": 3196560,
|
1105 |
+
"step": 685
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.5201658499811534,
|
1109 |
+
"grad_norm": 2.7741544246673584,
|
1110 |
+
"learning_rate": 4.2103312336982734e-05,
|
1111 |
+
"loss": 0.8889,
|
1112 |
+
"num_input_tokens_seen": 3220432,
|
1113 |
+
"step": 690
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.52393516773464,
|
1117 |
+
"grad_norm": 2.749328136444092,
|
1118 |
+
"learning_rate": 4.19950121550842e-05,
|
1119 |
+
"loss": 0.8717,
|
1120 |
+
"num_input_tokens_seen": 3243712,
|
1121 |
+
"step": 695
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.5277044854881267,
|
1125 |
+
"grad_norm": 2.4472267627716064,
|
1126 |
+
"learning_rate": 4.188611574442101e-05,
|
1127 |
+
"loss": 0.6314,
|
1128 |
+
"num_input_tokens_seen": 3266976,
|
1129 |
+
"step": 700
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.5314738032416133,
|
1133 |
+
"grad_norm": 2.1869001388549805,
|
1134 |
+
"learning_rate": 4.177662692535952e-05,
|
1135 |
+
"loss": 0.7517,
|
1136 |
+
"num_input_tokens_seen": 3290656,
|
1137 |
+
"step": 705
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.5352431209950999,
|
1141 |
+
"grad_norm": 1.7907201051712036,
|
1142 |
+
"learning_rate": 4.166654953904926e-05,
|
1143 |
+
"loss": 0.8373,
|
1144 |
+
"num_input_tokens_seen": 3313712,
|
1145 |
+
"step": 710
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 0.5390124387485865,
|
1149 |
+
"grad_norm": 1.8779516220092773,
|
1150 |
+
"learning_rate": 4.155588744728826e-05,
|
1151 |
+
"loss": 0.7025,
|
1152 |
+
"num_input_tokens_seen": 3336880,
|
1153 |
+
"step": 715
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.5427817565020732,
|
1157 |
+
"grad_norm": 2.0460379123687744,
|
1158 |
+
"learning_rate": 4.144464453238748e-05,
|
1159 |
+
"loss": 0.6709,
|
1160 |
+
"num_input_tokens_seen": 3360416,
|
1161 |
+
"step": 720
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.5465510742555597,
|
1165 |
+
"grad_norm": 2.096501350402832,
|
1166 |
+
"learning_rate": 4.133282469703469e-05,
|
1167 |
+
"loss": 0.6451,
|
1168 |
+
"num_input_tokens_seen": 3383408,
|
1169 |
+
"step": 725
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 0.5503203920090464,
|
1173 |
+
"grad_norm": 2.441951036453247,
|
1174 |
+
"learning_rate": 4.122043186415746e-05,
|
1175 |
+
"loss": 0.754,
|
1176 |
+
"num_input_tokens_seen": 3406752,
|
1177 |
+
"step": 730
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 0.554089709762533,
|
1181 |
+
"grad_norm": 2.059370517730713,
|
1182 |
+
"learning_rate": 4.110746997678565e-05,
|
1183 |
+
"loss": 0.8784,
|
1184 |
+
"num_input_tokens_seen": 3429968,
|
1185 |
+
"step": 735
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.5578590275160196,
|
1189 |
+
"grad_norm": 1.969912052154541,
|
1190 |
+
"learning_rate": 4.0993942997912984e-05,
|
1191 |
+
"loss": 0.9384,
|
1192 |
+
"num_input_tokens_seen": 3453136,
|
1193 |
+
"step": 740
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.5616283452695062,
|
1197 |
+
"grad_norm": 2.3595261573791504,
|
1198 |
+
"learning_rate": 4.087985491035804e-05,
|
1199 |
+
"loss": 0.7915,
|
1200 |
+
"num_input_tokens_seen": 3476384,
|
1201 |
+
"step": 745
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"epoch": 0.5653976630229929,
|
1205 |
+
"grad_norm": 2.187009572982788,
|
1206 |
+
"learning_rate": 4.076520971662455e-05,
|
1207 |
+
"loss": 0.8374,
|
1208 |
+
"num_input_tokens_seen": 3500176,
|
1209 |
+
"step": 750
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.5691669807764794,
|
1213 |
+
"grad_norm": 1.7618275880813599,
|
1214 |
+
"learning_rate": 4.065001143876097e-05,
|
1215 |
+
"loss": 0.7302,
|
1216 |
+
"num_input_tokens_seen": 3524048,
|
1217 |
+
"step": 755
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 0.5729362985299661,
|
1221 |
+
"grad_norm": 2.1269426345825195,
|
1222 |
+
"learning_rate": 4.053426411821934e-05,
|
1223 |
+
"loss": 0.754,
|
1224 |
+
"num_input_tokens_seen": 3547056,
|
1225 |
+
"step": 760
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 0.5767056162834527,
|
1229 |
+
"grad_norm": 2.3369758129119873,
|
1230 |
+
"learning_rate": 4.0417971815713584e-05,
|
1231 |
+
"loss": 0.8208,
|
1232 |
+
"num_input_tokens_seen": 3570608,
|
1233 |
+
"step": 765
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.5804749340369393,
|
1237 |
+
"grad_norm": 2.156280279159546,
|
1238 |
+
"learning_rate": 4.030113861107693e-05,
|
1239 |
+
"loss": 0.9635,
|
1240 |
+
"num_input_tokens_seen": 3594192,
|
1241 |
+
"step": 770
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.5842442517904259,
|
1245 |
+
"grad_norm": 1.7685117721557617,
|
1246 |
+
"learning_rate": 4.0183768603118886e-05,
|
1247 |
+
"loss": 0.7606,
|
1248 |
+
"num_input_tokens_seen": 3617600,
|
1249 |
+
"step": 775
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.5880135695439126,
|
1253 |
+
"grad_norm": 2.0940916538238525,
|
1254 |
+
"learning_rate": 4.0065865909481417e-05,
|
1255 |
+
"loss": 0.7283,
|
1256 |
+
"num_input_tokens_seen": 3640416,
|
1257 |
+
"step": 780
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.5917828872973991,
|
1261 |
+
"grad_norm": 2.5771267414093018,
|
1262 |
+
"learning_rate": 3.994743466649442e-05,
|
1263 |
+
"loss": 0.6878,
|
1264 |
+
"num_input_tokens_seen": 3663696,
|
1265 |
+
"step": 785
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.5955522050508858,
|
1269 |
+
"grad_norm": 2.336862087249756,
|
1270 |
+
"learning_rate": 3.982847902903071e-05,
|
1271 |
+
"loss": 0.8009,
|
1272 |
+
"num_input_tokens_seen": 3686880,
|
1273 |
+
"step": 790
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 0.5993215228043725,
|
1277 |
+
"grad_norm": 2.91589093208313,
|
1278 |
+
"learning_rate": 3.9709003170360176e-05,
|
1279 |
+
"loss": 0.794,
|
1280 |
+
"num_input_tokens_seen": 3710224,
|
1281 |
+
"step": 795
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.603090840557859,
|
1285 |
+
"grad_norm": 3.051378011703491,
|
1286 |
+
"learning_rate": 3.958901128200344e-05,
|
1287 |
+
"loss": 0.7532,
|
1288 |
+
"num_input_tokens_seen": 3733536,
|
1289 |
+
"step": 800
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.6068601583113457,
|
1293 |
+
"grad_norm": 3.457322835922241,
|
1294 |
+
"learning_rate": 3.946850757358475e-05,
|
1295 |
+
"loss": 0.8581,
|
1296 |
+
"num_input_tokens_seen": 3756688,
|
1297 |
+
"step": 805
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.6106294760648323,
|
1301 |
+
"grad_norm": 1.4198774099349976,
|
1302 |
+
"learning_rate": 3.9347496272684325e-05,
|
1303 |
+
"loss": 0.7889,
|
1304 |
+
"num_input_tokens_seen": 3779504,
|
1305 |
+
"step": 810
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.6143987938183189,
|
1309 |
+
"grad_norm": 2.5762572288513184,
|
1310 |
+
"learning_rate": 3.922598162469003e-05,
|
1311 |
+
"loss": 0.7401,
|
1312 |
+
"num_input_tokens_seen": 3802544,
|
1313 |
+
"step": 815
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.6181681115718055,
|
1317 |
+
"grad_norm": 2.5552995204925537,
|
1318 |
+
"learning_rate": 3.910396789264845e-05,
|
1319 |
+
"loss": 0.799,
|
1320 |
+
"num_input_tokens_seen": 3825680,
|
1321 |
+
"step": 820
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 0.6219374293252922,
|
1325 |
+
"grad_norm": 1.8057173490524292,
|
1326 |
+
"learning_rate": 3.8981459357115325e-05,
|
1327 |
+
"loss": 0.8015,
|
1328 |
+
"num_input_tokens_seen": 3849040,
|
1329 |
+
"step": 825
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.6257067470787787,
|
1333 |
+
"grad_norm": 1.8398315906524658,
|
1334 |
+
"learning_rate": 3.885846031600536e-05,
|
1335 |
+
"loss": 0.6905,
|
1336 |
+
"num_input_tokens_seen": 3872320,
|
1337 |
+
"step": 830
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 0.6294760648322654,
|
1341 |
+
"grad_norm": 2.7629125118255615,
|
1342 |
+
"learning_rate": 3.8734975084441466e-05,
|
1343 |
+
"loss": 0.845,
|
1344 |
+
"num_input_tokens_seen": 3895920,
|
1345 |
+
"step": 835
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.633245382585752,
|
1349 |
+
"grad_norm": 1.9969942569732666,
|
1350 |
+
"learning_rate": 3.8611007994603365e-05,
|
1351 |
+
"loss": 0.7317,
|
1352 |
+
"num_input_tokens_seen": 3919360,
|
1353 |
+
"step": 840
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.6370147003392386,
|
1357 |
+
"grad_norm": 3.591285467147827,
|
1358 |
+
"learning_rate": 3.8486563395575625e-05,
|
1359 |
+
"loss": 0.724,
|
1360 |
+
"num_input_tokens_seen": 3942736,
|
1361 |
+
"step": 845
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.6407840180927252,
|
1365 |
+
"grad_norm": 2.4714577198028564,
|
1366 |
+
"learning_rate": 3.8361645653195026e-05,
|
1367 |
+
"loss": 0.664,
|
1368 |
+
"num_input_tokens_seen": 3966144,
|
1369 |
+
"step": 850
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 0.6445533358462119,
|
1373 |
+
"grad_norm": 3.081908702850342,
|
1374 |
+
"learning_rate": 3.823625914989748e-05,
|
1375 |
+
"loss": 0.5922,
|
1376 |
+
"num_input_tokens_seen": 3989472,
|
1377 |
+
"step": 855
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.6483226535996984,
|
1381 |
+
"grad_norm": 3.5514636039733887,
|
1382 |
+
"learning_rate": 3.811040828456421e-05,
|
1383 |
+
"loss": 0.9465,
|
1384 |
+
"num_input_tokens_seen": 4012656,
|
1385 |
+
"step": 860
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.6520919713531851,
|
1389 |
+
"grad_norm": 3.4660677909851074,
|
1390 |
+
"learning_rate": 3.798409747236745e-05,
|
1391 |
+
"loss": 0.7781,
|
1392 |
+
"num_input_tokens_seen": 4035888,
|
1393 |
+
"step": 865
|
1394 |
+
},
|
1395 |
+
{
|
1396 |
+
"epoch": 0.6558612891066717,
|
1397 |
+
"grad_norm": 3.08896541595459,
|
1398 |
+
"learning_rate": 3.7857331144615574e-05,
|
1399 |
+
"loss": 0.8309,
|
1400 |
+
"num_input_tokens_seen": 4059504,
|
1401 |
+
"step": 870
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.6596306068601583,
|
1405 |
+
"grad_norm": 2.4300408363342285,
|
1406 |
+
"learning_rate": 3.773011374859761e-05,
|
1407 |
+
"loss": 0.7812,
|
1408 |
+
"num_input_tokens_seen": 4083440,
|
1409 |
+
"step": 875
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.6633999246136449,
|
1413 |
+
"grad_norm": 3.5635619163513184,
|
1414 |
+
"learning_rate": 3.7602449747427204e-05,
|
1415 |
+
"loss": 0.7888,
|
1416 |
+
"num_input_tokens_seen": 4106928,
|
1417 |
+
"step": 880
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.6671692423671316,
|
1421 |
+
"grad_norm": 1.9514297246932983,
|
1422 |
+
"learning_rate": 3.747434361988608e-05,
|
1423 |
+
"loss": 0.7584,
|
1424 |
+
"num_input_tokens_seen": 4130336,
|
1425 |
+
"step": 885
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.6709385601206181,
|
1429 |
+
"grad_norm": 1.6948657035827637,
|
1430 |
+
"learning_rate": 3.734579986026688e-05,
|
1431 |
+
"loss": 0.6848,
|
1432 |
+
"num_input_tokens_seen": 4153872,
|
1433 |
+
"step": 890
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.6747078778741048,
|
1437 |
+
"grad_norm": 1.9811207056045532,
|
1438 |
+
"learning_rate": 3.7216822978215514e-05,
|
1439 |
+
"loss": 0.8068,
|
1440 |
+
"num_input_tokens_seen": 4177072,
|
1441 |
+
"step": 895
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.6784771956275915,
|
1445 |
+
"grad_norm": 3.7668049335479736,
|
1446 |
+
"learning_rate": 3.7087417498572944e-05,
|
1447 |
+
"loss": 0.8122,
|
1448 |
+
"num_input_tokens_seen": 4200256,
|
1449 |
+
"step": 900
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 0.682246513381078,
|
1453 |
+
"grad_norm": 2.3684747219085693,
|
1454 |
+
"learning_rate": 3.695758796121642e-05,
|
1455 |
+
"loss": 0.5764,
|
1456 |
+
"num_input_tokens_seen": 4223264,
|
1457 |
+
"step": 905
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.6860158311345647,
|
1461 |
+
"grad_norm": 2.597867250442505,
|
1462 |
+
"learning_rate": 3.6827338920900254e-05,
|
1463 |
+
"loss": 0.8898,
|
1464 |
+
"num_input_tokens_seen": 4247024,
|
1465 |
+
"step": 910
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.6897851488880513,
|
1469 |
+
"grad_norm": 2.0299720764160156,
|
1470 |
+
"learning_rate": 3.6696674947095984e-05,
|
1471 |
+
"loss": 0.7741,
|
1472 |
+
"num_input_tokens_seen": 4270800,
|
1473 |
+
"step": 915
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.6935544666415379,
|
1477 |
+
"grad_norm": 2.4363317489624023,
|
1478 |
+
"learning_rate": 3.656560062383208e-05,
|
1479 |
+
"loss": 0.8219,
|
1480 |
+
"num_input_tokens_seen": 4294352,
|
1481 |
+
"step": 920
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 0.6973237843950245,
|
1485 |
+
"grad_norm": 1.752125859260559,
|
1486 |
+
"learning_rate": 3.6434120549533135e-05,
|
1487 |
+
"loss": 0.6813,
|
1488 |
+
"num_input_tokens_seen": 4318208,
|
1489 |
+
"step": 925
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 0.7010931021485112,
|
1493 |
+
"grad_norm": 3.325110912322998,
|
1494 |
+
"learning_rate": 3.6302239336858545e-05,
|
1495 |
+
"loss": 0.6866,
|
1496 |
+
"num_input_tokens_seen": 4341728,
|
1497 |
+
"step": 930
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.7048624199019977,
|
1501 |
+
"grad_norm": 1.9037253856658936,
|
1502 |
+
"learning_rate": 3.6169961612540645e-05,
|
1503 |
+
"loss": 0.8628,
|
1504 |
+
"num_input_tokens_seen": 4365392,
|
1505 |
+
"step": 935
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 0.7086317376554844,
|
1509 |
+
"grad_norm": 1.9913270473480225,
|
1510 |
+
"learning_rate": 3.603729201722244e-05,
|
1511 |
+
"loss": 0.8978,
|
1512 |
+
"num_input_tokens_seen": 4389184,
|
1513 |
+
"step": 940
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 0.712401055408971,
|
1517 |
+
"grad_norm": 2.668295383453369,
|
1518 |
+
"learning_rate": 3.5904235205294776e-05,
|
1519 |
+
"loss": 0.7572,
|
1520 |
+
"num_input_tokens_seen": 4412272,
|
1521 |
+
"step": 945
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.7161703731624576,
|
1525 |
+
"grad_norm": 2.363468885421753,
|
1526 |
+
"learning_rate": 3.5770795844733035e-05,
|
1527 |
+
"loss": 0.7205,
|
1528 |
+
"num_input_tokens_seen": 4435072,
|
1529 |
+
"step": 950
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 0.7199396909159442,
|
1533 |
+
"grad_norm": 2.3162343502044678,
|
1534 |
+
"learning_rate": 3.5636978616933416e-05,
|
1535 |
+
"loss": 0.7521,
|
1536 |
+
"num_input_tokens_seen": 4458272,
|
1537 |
+
"step": 955
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 0.7237090086694309,
|
1541 |
+
"grad_norm": 1.9907945394515991,
|
1542 |
+
"learning_rate": 3.550278821654866e-05,
|
1543 |
+
"loss": 0.7205,
|
1544 |
+
"num_input_tokens_seen": 4481056,
|
1545 |
+
"step": 960
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.7274783264229174,
|
1549 |
+
"grad_norm": 2.0076990127563477,
|
1550 |
+
"learning_rate": 3.536822935132336e-05,
|
1551 |
+
"loss": 0.6597,
|
1552 |
+
"num_input_tokens_seen": 4504288,
|
1553 |
+
"step": 965
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 0.7312476441764041,
|
1557 |
+
"grad_norm": 1.6346359252929688,
|
1558 |
+
"learning_rate": 3.5233306741928806e-05,
|
1559 |
+
"loss": 0.7293,
|
1560 |
+
"num_input_tokens_seen": 4527552,
|
1561 |
+
"step": 970
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 0.7350169619298907,
|
1565 |
+
"grad_norm": 2.227130651473999,
|
1566 |
+
"learning_rate": 3.509802512179737e-05,
|
1567 |
+
"loss": 0.7055,
|
1568 |
+
"num_input_tokens_seen": 4551024,
|
1569 |
+
"step": 975
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.7387862796833773,
|
1573 |
+
"grad_norm": 3.003014087677002,
|
1574 |
+
"learning_rate": 3.496238923695646e-05,
|
1575 |
+
"loss": 0.763,
|
1576 |
+
"num_input_tokens_seen": 4574464,
|
1577 |
+
"step": 980
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.742555597436864,
|
1581 |
+
"grad_norm": 2.196281671524048,
|
1582 |
+
"learning_rate": 3.4826403845861986e-05,
|
1583 |
+
"loss": 0.6831,
|
1584 |
+
"num_input_tokens_seen": 4597600,
|
1585 |
+
"step": 985
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 0.7463249151903506,
|
1589 |
+
"grad_norm": 2.487607717514038,
|
1590 |
+
"learning_rate": 3.4690073719231425e-05,
|
1591 |
+
"loss": 0.6586,
|
1592 |
+
"num_input_tokens_seen": 4621424,
|
1593 |
+
"step": 990
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.7500942329438371,
|
1597 |
+
"grad_norm": 2.686861753463745,
|
1598 |
+
"learning_rate": 3.455340363987648e-05,
|
1599 |
+
"loss": 0.7481,
|
1600 |
+
"num_input_tokens_seen": 4644400,
|
1601 |
+
"step": 995
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 0.7538635506973238,
|
1605 |
+
"grad_norm": 2.511491060256958,
|
1606 |
+
"learning_rate": 3.4416398402535284e-05,
|
1607 |
+
"loss": 0.8084,
|
1608 |
+
"num_input_tokens_seen": 4667568,
|
1609 |
+
"step": 1000
|
1610 |
+
}
|
1611 |
+
],
|
1612 |
+
"logging_steps": 5,
|
1613 |
+
"max_steps": 2652,
|
1614 |
+
"num_input_tokens_seen": 4667568,
|
1615 |
+
"num_train_epochs": 2,
|
1616 |
+
"save_steps": 100,
|
1617 |
+
"stateful_callbacks": {
|
1618 |
+
"TrainerControl": {
|
1619 |
+
"args": {
|
1620 |
+
"should_epoch_stop": false,
|
1621 |
+
"should_evaluate": false,
|
1622 |
+
"should_log": false,
|
1623 |
+
"should_save": true,
|
1624 |
+
"should_training_stop": false
|
1625 |
+
},
|
1626 |
+
"attributes": {}
|
1627 |
+
}
|
1628 |
+
},
|
1629 |
+
"total_flos": 5.55863741019095e+16,
|
1630 |
+
"train_batch_size": 2,
|
1631 |
+
"trial_name": null,
|
1632 |
+
"trial_params": null
|
1633 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6bf99f8ecb93d0984855985ecc167fffba04c8ce699d07d18cdb046fa7a5cdf
|
3 |
+
size 5432
|
checkpoint-1000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1100/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: Qwen/Qwen2-VL-2B-Instruct
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.12.0
|
checkpoint-1100/adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": "^(?!.*visual).*(?:up_proj|k_proj|down_proj|gate_proj|v_proj|o_proj|q_proj).*",
|
23 |
+
"task_type": "CAUSAL_LM",
|
24 |
+
"use_dora": false,
|
25 |
+
"use_rslora": false
|
26 |
+
}
|
checkpoint-1100/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7ef484a41108bc3a7cc0dd9c05b505aec018ee518dfc78375b41f07b84ab6a7a
|
3 |
+
size 36981072
|
checkpoint-1100/added_tokens.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|box_end|>": 151649,
|
3 |
+
"<|box_start|>": 151648,
|
4 |
+
"<|endoftext|>": 151643,
|
5 |
+
"<|im_end|>": 151645,
|
6 |
+
"<|im_start|>": 151644,
|
7 |
+
"<|image_pad|>": 151655,
|
8 |
+
"<|object_ref_end|>": 151647,
|
9 |
+
"<|object_ref_start|>": 151646,
|
10 |
+
"<|quad_end|>": 151651,
|
11 |
+
"<|quad_start|>": 151650,
|
12 |
+
"<|video_pad|>": 151656,
|
13 |
+
"<|vision_end|>": 151653,
|
14 |
+
"<|vision_pad|>": 151654,
|
15 |
+
"<|vision_start|>": 151652
|
16 |
+
}
|
checkpoint-1100/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1100/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4f34372217502fd1831a897b5de3eb6c2e6ab80d55eb8e8cc29bf7e3b08d6e1
|
3 |
+
size 74188650
|
checkpoint-1100/preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": true,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.48145466,
|
8 |
+
0.4578275,
|
9 |
+
0.40821073
|
10 |
+
],
|
11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.26862954,
|
14 |
+
0.26130258,
|
15 |
+
0.27577711
|
16 |
+
],
|
17 |
+
"max_pixels": 12845056,
|
18 |
+
"merge_size": 2,
|
19 |
+
"min_pixels": 3136,
|
20 |
+
"patch_size": 14,
|
21 |
+
"processor_class": "Qwen2VLProcessor",
|
22 |
+
"resample": 3,
|
23 |
+
"rescale_factor": 0.00392156862745098,
|
24 |
+
"size": {
|
25 |
+
"max_pixels": 12845056,
|
26 |
+
"min_pixels": 3136
|
27 |
+
},
|
28 |
+
"temporal_patch_size": 2
|
29 |
+
}
|
checkpoint-1100/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
3 |
+
size 14244
|
checkpoint-1100/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9fb65cd21cc2b2083ef35d71f2fa11e880a9ca22c25504f8f6c31925c3c02b64
|
3 |
+
size 1064
|
checkpoint-1100/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
checkpoint-1100/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
|
3 |
+
size 11420371
|
checkpoint-1100/tokenizer_config.json
ADDED
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"151646": {
|
29 |
+
"content": "<|object_ref_start|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"151647": {
|
37 |
+
"content": "<|object_ref_end|>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"151648": {
|
45 |
+
"content": "<|box_start|>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"151649": {
|
53 |
+
"content": "<|box_end|>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"151650": {
|
61 |
+
"content": "<|quad_start|>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"151651": {
|
69 |
+
"content": "<|quad_end|>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"151652": {
|
77 |
+
"content": "<|vision_start|>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"151653": {
|
85 |
+
"content": "<|vision_end|>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"151654": {
|
93 |
+
"content": "<|vision_pad|>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"151655": {
|
101 |
+
"content": "<|image_pad|>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"151656": {
|
109 |
+
"content": "<|video_pad|>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
}
|
116 |
+
},
|
117 |
+
"additional_special_tokens": [
|
118 |
+
"<|im_start|>",
|
119 |
+
"<|im_end|>",
|
120 |
+
"<|object_ref_start|>",
|
121 |
+
"<|object_ref_end|>",
|
122 |
+
"<|box_start|>",
|
123 |
+
"<|box_end|>",
|
124 |
+
"<|quad_start|>",
|
125 |
+
"<|quad_end|>",
|
126 |
+
"<|vision_start|>",
|
127 |
+
"<|vision_end|>",
|
128 |
+
"<|vision_pad|>",
|
129 |
+
"<|image_pad|>",
|
130 |
+
"<|video_pad|>"
|
131 |
+
],
|
132 |
+
"bos_token": null,
|
133 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
134 |
+
"clean_up_tokenization_spaces": false,
|
135 |
+
"eos_token": "<|im_end|>",
|
136 |
+
"errors": "replace",
|
137 |
+
"model_max_length": 32768,
|
138 |
+
"pad_token": "<|endoftext|>",
|
139 |
+
"padding_side": "right",
|
140 |
+
"split_special_tokens": false,
|
141 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
142 |
+
"unk_token": null
|
143 |
+
}
|
checkpoint-1100/trainer_state.json
ADDED
@@ -0,0 +1,1793 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.8292499057670562,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1100,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.003769317753486619,
|
13 |
+
"grad_norm": 2.665037155151367,
|
14 |
+
"learning_rate": 4.999956146783009e-05,
|
15 |
+
"loss": 1.564,
|
16 |
+
"num_input_tokens_seen": 23856,
|
17 |
+
"step": 5
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.007538635506973238,
|
21 |
+
"grad_norm": 1.4514005184173584,
|
22 |
+
"learning_rate": 4.9998245886705174e-05,
|
23 |
+
"loss": 0.968,
|
24 |
+
"num_input_tokens_seen": 47584,
|
25 |
+
"step": 10
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0.011307953260459858,
|
29 |
+
"grad_norm": 2.0009350776672363,
|
30 |
+
"learning_rate": 4.999605330277923e-05,
|
31 |
+
"loss": 0.9879,
|
32 |
+
"num_input_tokens_seen": 70864,
|
33 |
+
"step": 15
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.015077271013946476,
|
37 |
+
"grad_norm": 1.2164318561553955,
|
38 |
+
"learning_rate": 4.999298379297376e-05,
|
39 |
+
"loss": 1.073,
|
40 |
+
"num_input_tokens_seen": 94192,
|
41 |
+
"step": 20
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.018846588767433094,
|
45 |
+
"grad_norm": 2.2099952697753906,
|
46 |
+
"learning_rate": 4.998903746497505e-05,
|
47 |
+
"loss": 0.8549,
|
48 |
+
"num_input_tokens_seen": 117472,
|
49 |
+
"step": 25
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.022615906520919715,
|
53 |
+
"grad_norm": 1.6259618997573853,
|
54 |
+
"learning_rate": 4.998421445723046e-05,
|
55 |
+
"loss": 0.8704,
|
56 |
+
"num_input_tokens_seen": 140704,
|
57 |
+
"step": 30
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.026385224274406333,
|
61 |
+
"grad_norm": 1.7849559783935547,
|
62 |
+
"learning_rate": 4.997851493894349e-05,
|
63 |
+
"loss": 0.9786,
|
64 |
+
"num_input_tokens_seen": 163680,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03015454202789295,
|
69 |
+
"grad_norm": 1.8650152683258057,
|
70 |
+
"learning_rate": 4.997193911006793e-05,
|
71 |
+
"loss": 0.8356,
|
72 |
+
"num_input_tokens_seen": 187072,
|
73 |
+
"step": 40
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.03392385978137957,
|
77 |
+
"grad_norm": 1.681622862815857,
|
78 |
+
"learning_rate": 4.996448720130077e-05,
|
79 |
+
"loss": 0.778,
|
80 |
+
"num_input_tokens_seen": 211040,
|
81 |
+
"step": 45
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.03769317753486619,
|
85 |
+
"grad_norm": 1.6398649215698242,
|
86 |
+
"learning_rate": 4.995615947407415e-05,
|
87 |
+
"loss": 0.939,
|
88 |
+
"num_input_tokens_seen": 234560,
|
89 |
+
"step": 50
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.04146249528835281,
|
93 |
+
"grad_norm": 2.327622890472412,
|
94 |
+
"learning_rate": 4.994695622054618e-05,
|
95 |
+
"loss": 1.0274,
|
96 |
+
"num_input_tokens_seen": 257632,
|
97 |
+
"step": 55
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.04523181304183943,
|
101 |
+
"grad_norm": 2.6391327381134033,
|
102 |
+
"learning_rate": 4.9936877763590664e-05,
|
103 |
+
"loss": 0.8822,
|
104 |
+
"num_input_tokens_seen": 281024,
|
105 |
+
"step": 60
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.049001130795326045,
|
109 |
+
"grad_norm": 1.8776222467422485,
|
110 |
+
"learning_rate": 4.992592445678582e-05,
|
111 |
+
"loss": 0.8146,
|
112 |
+
"num_input_tokens_seen": 304688,
|
113 |
+
"step": 65
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.052770448548812667,
|
117 |
+
"grad_norm": 1.6592698097229004,
|
118 |
+
"learning_rate": 4.991409668440185e-05,
|
119 |
+
"loss": 0.9989,
|
120 |
+
"num_input_tokens_seen": 327424,
|
121 |
+
"step": 70
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.05653976630229928,
|
125 |
+
"grad_norm": 1.709376335144043,
|
126 |
+
"learning_rate": 4.990139486138743e-05,
|
127 |
+
"loss": 0.9344,
|
128 |
+
"num_input_tokens_seen": 350528,
|
129 |
+
"step": 75
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.0603090840557859,
|
133 |
+
"grad_norm": 1.3547413349151611,
|
134 |
+
"learning_rate": 4.988781943335521e-05,
|
135 |
+
"loss": 0.7932,
|
136 |
+
"num_input_tokens_seen": 373280,
|
137 |
+
"step": 80
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.06407840180927252,
|
141 |
+
"grad_norm": 1.3162572383880615,
|
142 |
+
"learning_rate": 4.987337087656614e-05,
|
143 |
+
"loss": 0.9445,
|
144 |
+
"num_input_tokens_seen": 395856,
|
145 |
+
"step": 85
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.06784771956275915,
|
149 |
+
"grad_norm": 1.8211767673492432,
|
150 |
+
"learning_rate": 4.985804969791279e-05,
|
151 |
+
"loss": 0.7369,
|
152 |
+
"num_input_tokens_seen": 418704,
|
153 |
+
"step": 90
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.07161703731624576,
|
157 |
+
"grad_norm": 1.552996039390564,
|
158 |
+
"learning_rate": 4.984185643490151e-05,
|
159 |
+
"loss": 1.0226,
|
160 |
+
"num_input_tokens_seen": 442432,
|
161 |
+
"step": 95
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.07538635506973237,
|
165 |
+
"grad_norm": 1.816767930984497,
|
166 |
+
"learning_rate": 4.9824791655633676e-05,
|
167 |
+
"loss": 0.7753,
|
168 |
+
"num_input_tokens_seen": 466128,
|
169 |
+
"step": 100
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.079155672823219,
|
173 |
+
"grad_norm": 1.6724802255630493,
|
174 |
+
"learning_rate": 4.9806855958785625e-05,
|
175 |
+
"loss": 0.8278,
|
176 |
+
"num_input_tokens_seen": 489536,
|
177 |
+
"step": 105
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.08292499057670562,
|
181 |
+
"grad_norm": 2.187622308731079,
|
182 |
+
"learning_rate": 4.978804997358779e-05,
|
183 |
+
"loss": 0.8432,
|
184 |
+
"num_input_tokens_seen": 513200,
|
185 |
+
"step": 110
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.08669430833019223,
|
189 |
+
"grad_norm": 1.500815987586975,
|
190 |
+
"learning_rate": 4.9768374359802525e-05,
|
191 |
+
"loss": 0.9649,
|
192 |
+
"num_input_tokens_seen": 536432,
|
193 |
+
"step": 115
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.09046362608367886,
|
197 |
+
"grad_norm": 1.6637320518493652,
|
198 |
+
"learning_rate": 4.9747829807701e-05,
|
199 |
+
"loss": 0.8249,
|
200 |
+
"num_input_tokens_seen": 559776,
|
201 |
+
"step": 120
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.09423294383716548,
|
205 |
+
"grad_norm": 1.5978686809539795,
|
206 |
+
"learning_rate": 4.972641703803896e-05,
|
207 |
+
"loss": 0.9157,
|
208 |
+
"num_input_tokens_seen": 583248,
|
209 |
+
"step": 125
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.09800226159065209,
|
213 |
+
"grad_norm": 1.4269095659255981,
|
214 |
+
"learning_rate": 4.9704136802031485e-05,
|
215 |
+
"loss": 0.885,
|
216 |
+
"num_input_tokens_seen": 606768,
|
217 |
+
"step": 130
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.1017715793441387,
|
221 |
+
"grad_norm": 1.6915644407272339,
|
222 |
+
"learning_rate": 4.96809898813266e-05,
|
223 |
+
"loss": 0.8736,
|
224 |
+
"num_input_tokens_seen": 630896,
|
225 |
+
"step": 135
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.10554089709762533,
|
229 |
+
"grad_norm": 1.6915837526321411,
|
230 |
+
"learning_rate": 4.965697708797784e-05,
|
231 |
+
"loss": 0.7312,
|
232 |
+
"num_input_tokens_seen": 654320,
|
233 |
+
"step": 140
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.10931021485111195,
|
237 |
+
"grad_norm": 1.921988606452942,
|
238 |
+
"learning_rate": 4.963209926441581e-05,
|
239 |
+
"loss": 0.9478,
|
240 |
+
"num_input_tokens_seen": 677248,
|
241 |
+
"step": 145
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.11307953260459856,
|
245 |
+
"grad_norm": 2.241665840148926,
|
246 |
+
"learning_rate": 4.9606357283418575e-05,
|
247 |
+
"loss": 0.9174,
|
248 |
+
"num_input_tokens_seen": 700672,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.11684885035808519,
|
253 |
+
"grad_norm": 2.076327323913574,
|
254 |
+
"learning_rate": 4.957975204808108e-05,
|
255 |
+
"loss": 0.8453,
|
256 |
+
"num_input_tokens_seen": 724480,
|
257 |
+
"step": 155
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.1206181681115718,
|
261 |
+
"grad_norm": 1.5655834674835205,
|
262 |
+
"learning_rate": 4.955228449178345e-05,
|
263 |
+
"loss": 0.701,
|
264 |
+
"num_input_tokens_seen": 748144,
|
265 |
+
"step": 160
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.12438748586505842,
|
269 |
+
"grad_norm": 1.8062623739242554,
|
270 |
+
"learning_rate": 4.952395557815826e-05,
|
271 |
+
"loss": 0.7981,
|
272 |
+
"num_input_tokens_seen": 771584,
|
273 |
+
"step": 165
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.12815680361854503,
|
277 |
+
"grad_norm": 2.2940807342529297,
|
278 |
+
"learning_rate": 4.949476630105669e-05,
|
279 |
+
"loss": 0.8824,
|
280 |
+
"num_input_tokens_seen": 795248,
|
281 |
+
"step": 170
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.13192612137203166,
|
285 |
+
"grad_norm": 2.108461856842041,
|
286 |
+
"learning_rate": 4.9464717684513726e-05,
|
287 |
+
"loss": 0.8368,
|
288 |
+
"num_input_tokens_seen": 818272,
|
289 |
+
"step": 175
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.1356954391255183,
|
293 |
+
"grad_norm": 1.5639266967773438,
|
294 |
+
"learning_rate": 4.943381078271214e-05,
|
295 |
+
"loss": 0.951,
|
296 |
+
"num_input_tokens_seen": 841440,
|
297 |
+
"step": 180
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.1394647568790049,
|
301 |
+
"grad_norm": 1.4479436874389648,
|
302 |
+
"learning_rate": 4.9402046679945613e-05,
|
303 |
+
"loss": 0.8697,
|
304 |
+
"num_input_tokens_seen": 864640,
|
305 |
+
"step": 185
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.14323407463249152,
|
309 |
+
"grad_norm": 1.8331745862960815,
|
310 |
+
"learning_rate": 4.936942649058061e-05,
|
311 |
+
"loss": 0.7765,
|
312 |
+
"num_input_tokens_seen": 888032,
|
313 |
+
"step": 190
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.14700339238597815,
|
317 |
+
"grad_norm": 1.6916519403457642,
|
318 |
+
"learning_rate": 4.933595135901732e-05,
|
319 |
+
"loss": 0.778,
|
320 |
+
"num_input_tokens_seen": 911008,
|
321 |
+
"step": 195
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.15077271013946475,
|
325 |
+
"grad_norm": 2.0202736854553223,
|
326 |
+
"learning_rate": 4.930162245964952e-05,
|
327 |
+
"loss": 0.8926,
|
328 |
+
"num_input_tokens_seen": 934432,
|
329 |
+
"step": 200
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.15454202789295138,
|
333 |
+
"grad_norm": 1.8288179636001587,
|
334 |
+
"learning_rate": 4.926644099682334e-05,
|
335 |
+
"loss": 0.805,
|
336 |
+
"num_input_tokens_seen": 958064,
|
337 |
+
"step": 205
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.158311345646438,
|
341 |
+
"grad_norm": 1.9957374334335327,
|
342 |
+
"learning_rate": 4.9230408204795034e-05,
|
343 |
+
"loss": 0.8433,
|
344 |
+
"num_input_tokens_seen": 980992,
|
345 |
+
"step": 210
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.1620806633999246,
|
349 |
+
"grad_norm": 1.5921601057052612,
|
350 |
+
"learning_rate": 4.9193525347687696e-05,
|
351 |
+
"loss": 0.8483,
|
352 |
+
"num_input_tokens_seen": 1004736,
|
353 |
+
"step": 215
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.16584998115341124,
|
357 |
+
"grad_norm": 2.1509461402893066,
|
358 |
+
"learning_rate": 4.9155793719446863e-05,
|
359 |
+
"loss": 0.9689,
|
360 |
+
"num_input_tokens_seen": 1028320,
|
361 |
+
"step": 220
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.16961929890689786,
|
365 |
+
"grad_norm": 1.9183369874954224,
|
366 |
+
"learning_rate": 4.911721464379516e-05,
|
367 |
+
"loss": 0.9025,
|
368 |
+
"num_input_tokens_seen": 1051696,
|
369 |
+
"step": 225
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.17338861666038446,
|
373 |
+
"grad_norm": 1.5253652334213257,
|
374 |
+
"learning_rate": 4.907778947418585e-05,
|
375 |
+
"loss": 0.8423,
|
376 |
+
"num_input_tokens_seen": 1074640,
|
377 |
+
"step": 230
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.1771579344138711,
|
381 |
+
"grad_norm": 1.917833924293518,
|
382 |
+
"learning_rate": 4.9037519593755356e-05,
|
383 |
+
"loss": 0.968,
|
384 |
+
"num_input_tokens_seen": 1098096,
|
385 |
+
"step": 235
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 0.18092725216735772,
|
389 |
+
"grad_norm": 1.8350000381469727,
|
390 |
+
"learning_rate": 4.89964064152747e-05,
|
391 |
+
"loss": 0.8118,
|
392 |
+
"num_input_tokens_seen": 1121344,
|
393 |
+
"step": 240
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.18469656992084432,
|
397 |
+
"grad_norm": 1.4250982999801636,
|
398 |
+
"learning_rate": 4.895445138110001e-05,
|
399 |
+
"loss": 0.8695,
|
400 |
+
"num_input_tokens_seen": 1144608,
|
401 |
+
"step": 245
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.18846588767433095,
|
405 |
+
"grad_norm": 3.1919894218444824,
|
406 |
+
"learning_rate": 4.891165596312186e-05,
|
407 |
+
"loss": 0.9135,
|
408 |
+
"num_input_tokens_seen": 1168112,
|
409 |
+
"step": 250
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.19223520542781755,
|
413 |
+
"grad_norm": 2.4486422538757324,
|
414 |
+
"learning_rate": 4.886802166271364e-05,
|
415 |
+
"loss": 0.798,
|
416 |
+
"num_input_tokens_seen": 1190992,
|
417 |
+
"step": 255
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.19600452318130418,
|
421 |
+
"grad_norm": 1.6712846755981445,
|
422 |
+
"learning_rate": 4.882355001067892e-05,
|
423 |
+
"loss": 0.8068,
|
424 |
+
"num_input_tokens_seen": 1214832,
|
425 |
+
"step": 260
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.1997738409347908,
|
429 |
+
"grad_norm": 2.27498197555542,
|
430 |
+
"learning_rate": 4.8778242567197685e-05,
|
431 |
+
"loss": 0.7621,
|
432 |
+
"num_input_tokens_seen": 1238080,
|
433 |
+
"step": 265
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.2035431586882774,
|
437 |
+
"grad_norm": 1.8954802751541138,
|
438 |
+
"learning_rate": 4.873210092177167e-05,
|
439 |
+
"loss": 0.7604,
|
440 |
+
"num_input_tokens_seen": 1261056,
|
441 |
+
"step": 270
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.20731247644176404,
|
445 |
+
"grad_norm": 2.805199146270752,
|
446 |
+
"learning_rate": 4.868512669316855e-05,
|
447 |
+
"loss": 0.9166,
|
448 |
+
"num_input_tokens_seen": 1283968,
|
449 |
+
"step": 275
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.21108179419525067,
|
453 |
+
"grad_norm": 1.6355040073394775,
|
454 |
+
"learning_rate": 4.863732152936514e-05,
|
455 |
+
"loss": 0.8487,
|
456 |
+
"num_input_tokens_seen": 1308192,
|
457 |
+
"step": 280
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.21485111194873727,
|
461 |
+
"grad_norm": 1.5382211208343506,
|
462 |
+
"learning_rate": 4.858868710748963e-05,
|
463 |
+
"loss": 0.9388,
|
464 |
+
"num_input_tokens_seen": 1331648,
|
465 |
+
"step": 285
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.2186204297022239,
|
469 |
+
"grad_norm": 4.8234052658081055,
|
470 |
+
"learning_rate": 4.85392251337627e-05,
|
471 |
+
"loss": 0.8762,
|
472 |
+
"num_input_tokens_seen": 1354880,
|
473 |
+
"step": 290
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.22238974745571052,
|
477 |
+
"grad_norm": 1.7781318426132202,
|
478 |
+
"learning_rate": 4.848893734343769e-05,
|
479 |
+
"loss": 0.8672,
|
480 |
+
"num_input_tokens_seen": 1378064,
|
481 |
+
"step": 295
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.22615906520919712,
|
485 |
+
"grad_norm": 1.4167485237121582,
|
486 |
+
"learning_rate": 4.8437825500739696e-05,
|
487 |
+
"loss": 0.9335,
|
488 |
+
"num_input_tokens_seen": 1401568,
|
489 |
+
"step": 300
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.22992838296268375,
|
493 |
+
"grad_norm": 1.112923502922058,
|
494 |
+
"learning_rate": 4.838589139880371e-05,
|
495 |
+
"loss": 0.7408,
|
496 |
+
"num_input_tokens_seen": 1424960,
|
497 |
+
"step": 305
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.23369770071617038,
|
501 |
+
"grad_norm": 1.789054274559021,
|
502 |
+
"learning_rate": 4.833313685961167e-05,
|
503 |
+
"loss": 0.7255,
|
504 |
+
"num_input_tokens_seen": 1448560,
|
505 |
+
"step": 310
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.23746701846965698,
|
509 |
+
"grad_norm": 2.056309223175049,
|
510 |
+
"learning_rate": 4.82795637339286e-05,
|
511 |
+
"loss": 0.8214,
|
512 |
+
"num_input_tokens_seen": 1472224,
|
513 |
+
"step": 315
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.2412363362231436,
|
517 |
+
"grad_norm": 2.14561128616333,
|
518 |
+
"learning_rate": 4.822517390123761e-05,
|
519 |
+
"loss": 0.7577,
|
520 |
+
"num_input_tokens_seen": 1495232,
|
521 |
+
"step": 320
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.24500565397663024,
|
525 |
+
"grad_norm": 2.092505931854248,
|
526 |
+
"learning_rate": 4.8169969269674016e-05,
|
527 |
+
"loss": 0.7087,
|
528 |
+
"num_input_tokens_seen": 1518608,
|
529 |
+
"step": 325
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.24877497173011684,
|
533 |
+
"grad_norm": 3.2833504676818848,
|
534 |
+
"learning_rate": 4.811395177595836e-05,
|
535 |
+
"loss": 0.8798,
|
536 |
+
"num_input_tokens_seen": 1541552,
|
537 |
+
"step": 330
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.25254428948360347,
|
541 |
+
"grad_norm": 3.2298083305358887,
|
542 |
+
"learning_rate": 4.8057123385328495e-05,
|
543 |
+
"loss": 0.8511,
|
544 |
+
"num_input_tokens_seen": 1565136,
|
545 |
+
"step": 335
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.25631360723709007,
|
549 |
+
"grad_norm": 3.187859296798706,
|
550 |
+
"learning_rate": 4.799948609147061e-05,
|
551 |
+
"loss": 0.8655,
|
552 |
+
"num_input_tokens_seen": 1588624,
|
553 |
+
"step": 340
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.2600829249905767,
|
557 |
+
"grad_norm": 1.7054897546768188,
|
558 |
+
"learning_rate": 4.7941041916449316e-05,
|
559 |
+
"loss": 0.7643,
|
560 |
+
"num_input_tokens_seen": 1612016,
|
561 |
+
"step": 345
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.2638522427440633,
|
565 |
+
"grad_norm": 2.040390729904175,
|
566 |
+
"learning_rate": 4.788179291063667e-05,
|
567 |
+
"loss": 0.8325,
|
568 |
+
"num_input_tokens_seen": 1635856,
|
569 |
+
"step": 350
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.2676215604975499,
|
573 |
+
"grad_norm": 1.6121920347213745,
|
574 |
+
"learning_rate": 4.78217411526403e-05,
|
575 |
+
"loss": 0.6917,
|
576 |
+
"num_input_tokens_seen": 1659168,
|
577 |
+
"step": 355
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.2713908782510366,
|
581 |
+
"grad_norm": 1.7065237760543823,
|
582 |
+
"learning_rate": 4.7760888749230416e-05,
|
583 |
+
"loss": 0.9086,
|
584 |
+
"num_input_tokens_seen": 1682480,
|
585 |
+
"step": 360
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.2751601960045232,
|
589 |
+
"grad_norm": 2.437305212020874,
|
590 |
+
"learning_rate": 4.769923783526593e-05,
|
591 |
+
"loss": 0.9648,
|
592 |
+
"num_input_tokens_seen": 1705952,
|
593 |
+
"step": 365
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.2789295137580098,
|
597 |
+
"grad_norm": 1.7989013195037842,
|
598 |
+
"learning_rate": 4.7636790573619586e-05,
|
599 |
+
"loss": 0.8712,
|
600 |
+
"num_input_tokens_seen": 1729504,
|
601 |
+
"step": 370
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.28269883151149644,
|
605 |
+
"grad_norm": 1.2867515087127686,
|
606 |
+
"learning_rate": 4.7573549155102014e-05,
|
607 |
+
"loss": 0.7044,
|
608 |
+
"num_input_tokens_seen": 1752784,
|
609 |
+
"step": 375
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.28646814926498304,
|
613 |
+
"grad_norm": 1.7485004663467407,
|
614 |
+
"learning_rate": 4.7509515798384956e-05,
|
615 |
+
"loss": 0.92,
|
616 |
+
"num_input_tokens_seen": 1775840,
|
617 |
+
"step": 380
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.29023746701846964,
|
621 |
+
"grad_norm": 1.8417341709136963,
|
622 |
+
"learning_rate": 4.7444692749923345e-05,
|
623 |
+
"loss": 0.7396,
|
624 |
+
"num_input_tokens_seen": 1798944,
|
625 |
+
"step": 385
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.2940067847719563,
|
629 |
+
"grad_norm": 1.755854606628418,
|
630 |
+
"learning_rate": 4.7379082283876566e-05,
|
631 |
+
"loss": 0.8619,
|
632 |
+
"num_input_tokens_seen": 1822016,
|
633 |
+
"step": 390
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.2977761025254429,
|
637 |
+
"grad_norm": 1.924985408782959,
|
638 |
+
"learning_rate": 4.73126867020286e-05,
|
639 |
+
"loss": 0.7399,
|
640 |
+
"num_input_tokens_seen": 1845584,
|
641 |
+
"step": 395
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.3015454202789295,
|
645 |
+
"grad_norm": 2.078490972518921,
|
646 |
+
"learning_rate": 4.724550833370735e-05,
|
647 |
+
"loss": 0.7882,
|
648 |
+
"num_input_tokens_seen": 1868976,
|
649 |
+
"step": 400
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.30531473803241616,
|
653 |
+
"grad_norm": 1.7066706418991089,
|
654 |
+
"learning_rate": 4.717754953570286e-05,
|
655 |
+
"loss": 0.7579,
|
656 |
+
"num_input_tokens_seen": 1892096,
|
657 |
+
"step": 405
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.30908405578590276,
|
661 |
+
"grad_norm": 1.5587912797927856,
|
662 |
+
"learning_rate": 4.710881269218467e-05,
|
663 |
+
"loss": 0.8531,
|
664 |
+
"num_input_tokens_seen": 1915136,
|
665 |
+
"step": 410
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.31285337353938936,
|
669 |
+
"grad_norm": 2.13066029548645,
|
670 |
+
"learning_rate": 4.7039300214618134e-05,
|
671 |
+
"loss": 0.8279,
|
672 |
+
"num_input_tokens_seen": 1938464,
|
673 |
+
"step": 415
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.316622691292876,
|
677 |
+
"grad_norm": 1.6272748708724976,
|
678 |
+
"learning_rate": 4.696901454167988e-05,
|
679 |
+
"loss": 0.9496,
|
680 |
+
"num_input_tokens_seen": 1961696,
|
681 |
+
"step": 420
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.3203920090463626,
|
685 |
+
"grad_norm": 1.9481947422027588,
|
686 |
+
"learning_rate": 4.68979581391722e-05,
|
687 |
+
"loss": 0.7804,
|
688 |
+
"num_input_tokens_seen": 1985072,
|
689 |
+
"step": 425
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.3241613267998492,
|
693 |
+
"grad_norm": 2.0169599056243896,
|
694 |
+
"learning_rate": 4.682613349993655e-05,
|
695 |
+
"loss": 0.8848,
|
696 |
+
"num_input_tokens_seen": 2007936,
|
697 |
+
"step": 430
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.32793064455333587,
|
701 |
+
"grad_norm": 2.285831928253174,
|
702 |
+
"learning_rate": 4.675354314376614e-05,
|
703 |
+
"loss": 0.7155,
|
704 |
+
"num_input_tokens_seen": 2031280,
|
705 |
+
"step": 435
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.33169996230682247,
|
709 |
+
"grad_norm": 1.7333121299743652,
|
710 |
+
"learning_rate": 4.6680189617317474e-05,
|
711 |
+
"loss": 0.7408,
|
712 |
+
"num_input_tokens_seen": 2054176,
|
713 |
+
"step": 440
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.33546928006030907,
|
717 |
+
"grad_norm": 1.5312005281448364,
|
718 |
+
"learning_rate": 4.660607549402103e-05,
|
719 |
+
"loss": 0.6917,
|
720 |
+
"num_input_tokens_seen": 2077392,
|
721 |
+
"step": 445
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 0.33923859781379573,
|
725 |
+
"grad_norm": 1.2847707271575928,
|
726 |
+
"learning_rate": 4.6531203373991014e-05,
|
727 |
+
"loss": 0.8376,
|
728 |
+
"num_input_tokens_seen": 2100464,
|
729 |
+
"step": 450
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.34300791556728233,
|
733 |
+
"grad_norm": 2.3927323818206787,
|
734 |
+
"learning_rate": 4.645557588393407e-05,
|
735 |
+
"loss": 0.7672,
|
736 |
+
"num_input_tokens_seen": 2124240,
|
737 |
+
"step": 455
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.34677723332076893,
|
741 |
+
"grad_norm": 1.467666506767273,
|
742 |
+
"learning_rate": 4.63791956770572e-05,
|
743 |
+
"loss": 0.7285,
|
744 |
+
"num_input_tokens_seen": 2147584,
|
745 |
+
"step": 460
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.3505465510742556,
|
749 |
+
"grad_norm": 2.08063006401062,
|
750 |
+
"learning_rate": 4.6302065432974616e-05,
|
751 |
+
"loss": 0.8577,
|
752 |
+
"num_input_tokens_seen": 2170976,
|
753 |
+
"step": 465
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.3543158688277422,
|
757 |
+
"grad_norm": 2.0516254901885986,
|
758 |
+
"learning_rate": 4.6224187857613786e-05,
|
759 |
+
"loss": 0.8195,
|
760 |
+
"num_input_tokens_seen": 2194128,
|
761 |
+
"step": 470
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.3580851865812288,
|
765 |
+
"grad_norm": 1.4173938035964966,
|
766 |
+
"learning_rate": 4.6145565683120496e-05,
|
767 |
+
"loss": 0.878,
|
768 |
+
"num_input_tokens_seen": 2217056,
|
769 |
+
"step": 475
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.36185450433471544,
|
773 |
+
"grad_norm": 2.968780517578125,
|
774 |
+
"learning_rate": 4.606620166776294e-05,
|
775 |
+
"loss": 0.8187,
|
776 |
+
"num_input_tokens_seen": 2240800,
|
777 |
+
"step": 480
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.36562382208820204,
|
781 |
+
"grad_norm": 2.426954507827759,
|
782 |
+
"learning_rate": 4.598609859583506e-05,
|
783 |
+
"loss": 0.7713,
|
784 |
+
"num_input_tokens_seen": 2263984,
|
785 |
+
"step": 485
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.36939313984168864,
|
789 |
+
"grad_norm": 1.7469669580459595,
|
790 |
+
"learning_rate": 4.590525927755874e-05,
|
791 |
+
"loss": 0.8583,
|
792 |
+
"num_input_tokens_seen": 2287776,
|
793 |
+
"step": 490
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.3731624575951753,
|
797 |
+
"grad_norm": 4.131247043609619,
|
798 |
+
"learning_rate": 4.582368654898533e-05,
|
799 |
+
"loss": 0.8106,
|
800 |
+
"num_input_tokens_seen": 2311072,
|
801 |
+
"step": 495
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.3769317753486619,
|
805 |
+
"grad_norm": 2.013920545578003,
|
806 |
+
"learning_rate": 4.5741383271896094e-05,
|
807 |
+
"loss": 0.8578,
|
808 |
+
"num_input_tokens_seen": 2334768,
|
809 |
+
"step": 500
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.3807010931021485,
|
813 |
+
"grad_norm": 2.0032143592834473,
|
814 |
+
"learning_rate": 4.565835233370178e-05,
|
815 |
+
"loss": 0.7192,
|
816 |
+
"num_input_tokens_seen": 2358272,
|
817 |
+
"step": 505
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.3844704108556351,
|
821 |
+
"grad_norm": 1.9632434844970703,
|
822 |
+
"learning_rate": 4.557459664734141e-05,
|
823 |
+
"loss": 0.8681,
|
824 |
+
"num_input_tokens_seen": 2381440,
|
825 |
+
"step": 510
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.38823972860912176,
|
829 |
+
"grad_norm": 3.1098926067352295,
|
830 |
+
"learning_rate": 4.549011915118001e-05,
|
831 |
+
"loss": 0.6713,
|
832 |
+
"num_input_tokens_seen": 2403984,
|
833 |
+
"step": 515
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.39200904636260836,
|
837 |
+
"grad_norm": 2.1910107135772705,
|
838 |
+
"learning_rate": 4.540492280890555e-05,
|
839 |
+
"loss": 0.7997,
|
840 |
+
"num_input_tokens_seen": 2427392,
|
841 |
+
"step": 520
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.39577836411609496,
|
845 |
+
"grad_norm": 2.5994174480438232,
|
846 |
+
"learning_rate": 4.531901060942497e-05,
|
847 |
+
"loss": 0.8715,
|
848 |
+
"num_input_tokens_seen": 2450384,
|
849 |
+
"step": 525
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.3995476818695816,
|
853 |
+
"grad_norm": 2.206372022628784,
|
854 |
+
"learning_rate": 4.523238556675935e-05,
|
855 |
+
"loss": 0.6608,
|
856 |
+
"num_input_tokens_seen": 2473424,
|
857 |
+
"step": 530
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.4033169996230682,
|
861 |
+
"grad_norm": 2.1349329948425293,
|
862 |
+
"learning_rate": 4.514505071993812e-05,
|
863 |
+
"loss": 0.7568,
|
864 |
+
"num_input_tokens_seen": 2497232,
|
865 |
+
"step": 535
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.4070863173765548,
|
869 |
+
"grad_norm": 2.0707926750183105,
|
870 |
+
"learning_rate": 4.505700913289246e-05,
|
871 |
+
"loss": 0.8325,
|
872 |
+
"num_input_tokens_seen": 2520432,
|
873 |
+
"step": 540
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.4108556351300415,
|
877 |
+
"grad_norm": 1.6440961360931396,
|
878 |
+
"learning_rate": 4.496826389434784e-05,
|
879 |
+
"loss": 0.8083,
|
880 |
+
"num_input_tokens_seen": 2543616,
|
881 |
+
"step": 545
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.4146249528835281,
|
885 |
+
"grad_norm": 2.5610768795013428,
|
886 |
+
"learning_rate": 4.48788181177156e-05,
|
887 |
+
"loss": 0.7702,
|
888 |
+
"num_input_tokens_seen": 2566992,
|
889 |
+
"step": 550
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 0.4183942706370147,
|
893 |
+
"grad_norm": 2.882587432861328,
|
894 |
+
"learning_rate": 4.478867494098381e-05,
|
895 |
+
"loss": 0.6993,
|
896 |
+
"num_input_tokens_seen": 2590144,
|
897 |
+
"step": 555
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.42216358839050133,
|
901 |
+
"grad_norm": 2.3161754608154297,
|
902 |
+
"learning_rate": 4.469783752660709e-05,
|
903 |
+
"loss": 0.8109,
|
904 |
+
"num_input_tokens_seen": 2614240,
|
905 |
+
"step": 560
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.42593290614398793,
|
909 |
+
"grad_norm": 2.578278064727783,
|
910 |
+
"learning_rate": 4.460630906139571e-05,
|
911 |
+
"loss": 0.7901,
|
912 |
+
"num_input_tokens_seen": 2637696,
|
913 |
+
"step": 565
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.42970222389747453,
|
917 |
+
"grad_norm": 2.362873077392578,
|
918 |
+
"learning_rate": 4.451409275640379e-05,
|
919 |
+
"loss": 0.9066,
|
920 |
+
"num_input_tokens_seen": 2660768,
|
921 |
+
"step": 570
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.4334715416509612,
|
925 |
+
"grad_norm": 1.8829095363616943,
|
926 |
+
"learning_rate": 4.442119184681664e-05,
|
927 |
+
"loss": 0.703,
|
928 |
+
"num_input_tokens_seen": 2683792,
|
929 |
+
"step": 575
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.4372408594044478,
|
933 |
+
"grad_norm": 1.8470242023468018,
|
934 |
+
"learning_rate": 4.432760959183725e-05,
|
935 |
+
"loss": 0.9203,
|
936 |
+
"num_input_tokens_seen": 2707136,
|
937 |
+
"step": 580
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 0.4410101771579344,
|
941 |
+
"grad_norm": 2.575732707977295,
|
942 |
+
"learning_rate": 4.423334927457198e-05,
|
943 |
+
"loss": 0.9314,
|
944 |
+
"num_input_tokens_seen": 2729808,
|
945 |
+
"step": 585
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.44477949491142105,
|
949 |
+
"grad_norm": 1.765871524810791,
|
950 |
+
"learning_rate": 4.413841420191532e-05,
|
951 |
+
"loss": 0.7105,
|
952 |
+
"num_input_tokens_seen": 2752992,
|
953 |
+
"step": 590
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.44854881266490765,
|
957 |
+
"grad_norm": 1.8366035223007202,
|
958 |
+
"learning_rate": 4.404280770443398e-05,
|
959 |
+
"loss": 0.894,
|
960 |
+
"num_input_tokens_seen": 2776480,
|
961 |
+
"step": 595
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.45231813041839425,
|
965 |
+
"grad_norm": 2.326671838760376,
|
966 |
+
"learning_rate": 4.3946533136249926e-05,
|
967 |
+
"loss": 0.8868,
|
968 |
+
"num_input_tokens_seen": 2799728,
|
969 |
+
"step": 600
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.4560874481718809,
|
973 |
+
"grad_norm": 1.8004709482192993,
|
974 |
+
"learning_rate": 4.384959387492277e-05,
|
975 |
+
"loss": 0.7679,
|
976 |
+
"num_input_tokens_seen": 2823008,
|
977 |
+
"step": 605
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.4598567659253675,
|
981 |
+
"grad_norm": 1.893351435661316,
|
982 |
+
"learning_rate": 4.37519933213313e-05,
|
983 |
+
"loss": 0.7895,
|
984 |
+
"num_input_tokens_seen": 2845984,
|
985 |
+
"step": 610
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 0.4636260836788541,
|
989 |
+
"grad_norm": 2.1309449672698975,
|
990 |
+
"learning_rate": 4.365373489955411e-05,
|
991 |
+
"loss": 0.8527,
|
992 |
+
"num_input_tokens_seen": 2869024,
|
993 |
+
"step": 615
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.46739540143234076,
|
997 |
+
"grad_norm": 2.4292616844177246,
|
998 |
+
"learning_rate": 4.355482205674951e-05,
|
999 |
+
"loss": 0.7533,
|
1000 |
+
"num_input_tokens_seen": 2892240,
|
1001 |
+
"step": 620
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 0.47116471918582736,
|
1005 |
+
"grad_norm": 4.796603679656982,
|
1006 |
+
"learning_rate": 4.3455258263034605e-05,
|
1007 |
+
"loss": 0.8048,
|
1008 |
+
"num_input_tokens_seen": 2915792,
|
1009 |
+
"step": 625
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.47493403693931396,
|
1013 |
+
"grad_norm": 2.2890474796295166,
|
1014 |
+
"learning_rate": 4.33550470113635e-05,
|
1015 |
+
"loss": 0.7072,
|
1016 |
+
"num_input_tokens_seen": 2939488,
|
1017 |
+
"step": 630
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.4787033546928006,
|
1021 |
+
"grad_norm": 1.8012391328811646,
|
1022 |
+
"learning_rate": 4.3254191817404804e-05,
|
1023 |
+
"loss": 0.7911,
|
1024 |
+
"num_input_tokens_seen": 2962992,
|
1025 |
+
"step": 635
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.4824726724462872,
|
1029 |
+
"grad_norm": 1.8014194965362549,
|
1030 |
+
"learning_rate": 4.3152696219418295e-05,
|
1031 |
+
"loss": 0.8293,
|
1032 |
+
"num_input_tokens_seen": 2986544,
|
1033 |
+
"step": 640
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.4862419901997738,
|
1037 |
+
"grad_norm": 2.239366292953491,
|
1038 |
+
"learning_rate": 4.305056377813075e-05,
|
1039 |
+
"loss": 0.8835,
|
1040 |
+
"num_input_tokens_seen": 3009984,
|
1041 |
+
"step": 645
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.4900113079532605,
|
1045 |
+
"grad_norm": 1.5583738088607788,
|
1046 |
+
"learning_rate": 4.294779807661105e-05,
|
1047 |
+
"loss": 0.7262,
|
1048 |
+
"num_input_tokens_seen": 3033520,
|
1049 |
+
"step": 650
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 0.4937806257067471,
|
1053 |
+
"grad_norm": 1.7024521827697754,
|
1054 |
+
"learning_rate": 4.2844402720144496e-05,
|
1055 |
+
"loss": 0.8231,
|
1056 |
+
"num_input_tokens_seen": 3057056,
|
1057 |
+
"step": 655
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 0.4975499434602337,
|
1061 |
+
"grad_norm": 3.108896493911743,
|
1062 |
+
"learning_rate": 4.274038133610628e-05,
|
1063 |
+
"loss": 0.8302,
|
1064 |
+
"num_input_tokens_seen": 3080656,
|
1065 |
+
"step": 660
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.5013192612137203,
|
1069 |
+
"grad_norm": 3.166442394256592,
|
1070 |
+
"learning_rate": 4.263573757383427e-05,
|
1071 |
+
"loss": 0.8095,
|
1072 |
+
"num_input_tokens_seen": 3103792,
|
1073 |
+
"step": 665
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.5050885789672069,
|
1077 |
+
"grad_norm": 2.218747854232788,
|
1078 |
+
"learning_rate": 4.2530475104500956e-05,
|
1079 |
+
"loss": 0.8756,
|
1080 |
+
"num_input_tokens_seen": 3126976,
|
1081 |
+
"step": 670
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.5088578967206936,
|
1085 |
+
"grad_norm": 2.5289299488067627,
|
1086 |
+
"learning_rate": 4.242459762098466e-05,
|
1087 |
+
"loss": 0.7733,
|
1088 |
+
"num_input_tokens_seen": 3150224,
|
1089 |
+
"step": 675
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.5126272144741801,
|
1093 |
+
"grad_norm": 1.674834132194519,
|
1094 |
+
"learning_rate": 4.231810883773999e-05,
|
1095 |
+
"loss": 0.7715,
|
1096 |
+
"num_input_tokens_seen": 3173296,
|
1097 |
+
"step": 680
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.5163965322276668,
|
1101 |
+
"grad_norm": 1.7702105045318604,
|
1102 |
+
"learning_rate": 4.2211012490667524e-05,
|
1103 |
+
"loss": 0.6996,
|
1104 |
+
"num_input_tokens_seen": 3196560,
|
1105 |
+
"step": 685
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.5201658499811534,
|
1109 |
+
"grad_norm": 2.7741544246673584,
|
1110 |
+
"learning_rate": 4.2103312336982734e-05,
|
1111 |
+
"loss": 0.8889,
|
1112 |
+
"num_input_tokens_seen": 3220432,
|
1113 |
+
"step": 690
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.52393516773464,
|
1117 |
+
"grad_norm": 2.749328136444092,
|
1118 |
+
"learning_rate": 4.19950121550842e-05,
|
1119 |
+
"loss": 0.8717,
|
1120 |
+
"num_input_tokens_seen": 3243712,
|
1121 |
+
"step": 695
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.5277044854881267,
|
1125 |
+
"grad_norm": 2.4472267627716064,
|
1126 |
+
"learning_rate": 4.188611574442101e-05,
|
1127 |
+
"loss": 0.6314,
|
1128 |
+
"num_input_tokens_seen": 3266976,
|
1129 |
+
"step": 700
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.5314738032416133,
|
1133 |
+
"grad_norm": 2.1869001388549805,
|
1134 |
+
"learning_rate": 4.177662692535952e-05,
|
1135 |
+
"loss": 0.7517,
|
1136 |
+
"num_input_tokens_seen": 3290656,
|
1137 |
+
"step": 705
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.5352431209950999,
|
1141 |
+
"grad_norm": 1.7907201051712036,
|
1142 |
+
"learning_rate": 4.166654953904926e-05,
|
1143 |
+
"loss": 0.8373,
|
1144 |
+
"num_input_tokens_seen": 3313712,
|
1145 |
+
"step": 710
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 0.5390124387485865,
|
1149 |
+
"grad_norm": 1.8779516220092773,
|
1150 |
+
"learning_rate": 4.155588744728826e-05,
|
1151 |
+
"loss": 0.7025,
|
1152 |
+
"num_input_tokens_seen": 3336880,
|
1153 |
+
"step": 715
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.5427817565020732,
|
1157 |
+
"grad_norm": 2.0460379123687744,
|
1158 |
+
"learning_rate": 4.144464453238748e-05,
|
1159 |
+
"loss": 0.6709,
|
1160 |
+
"num_input_tokens_seen": 3360416,
|
1161 |
+
"step": 720
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.5465510742555597,
|
1165 |
+
"grad_norm": 2.096501350402832,
|
1166 |
+
"learning_rate": 4.133282469703469e-05,
|
1167 |
+
"loss": 0.6451,
|
1168 |
+
"num_input_tokens_seen": 3383408,
|
1169 |
+
"step": 725
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 0.5503203920090464,
|
1173 |
+
"grad_norm": 2.441951036453247,
|
1174 |
+
"learning_rate": 4.122043186415746e-05,
|
1175 |
+
"loss": 0.754,
|
1176 |
+
"num_input_tokens_seen": 3406752,
|
1177 |
+
"step": 730
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 0.554089709762533,
|
1181 |
+
"grad_norm": 2.059370517730713,
|
1182 |
+
"learning_rate": 4.110746997678565e-05,
|
1183 |
+
"loss": 0.8784,
|
1184 |
+
"num_input_tokens_seen": 3429968,
|
1185 |
+
"step": 735
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.5578590275160196,
|
1189 |
+
"grad_norm": 1.969912052154541,
|
1190 |
+
"learning_rate": 4.0993942997912984e-05,
|
1191 |
+
"loss": 0.9384,
|
1192 |
+
"num_input_tokens_seen": 3453136,
|
1193 |
+
"step": 740
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.5616283452695062,
|
1197 |
+
"grad_norm": 2.3595261573791504,
|
1198 |
+
"learning_rate": 4.087985491035804e-05,
|
1199 |
+
"loss": 0.7915,
|
1200 |
+
"num_input_tokens_seen": 3476384,
|
1201 |
+
"step": 745
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"epoch": 0.5653976630229929,
|
1205 |
+
"grad_norm": 2.187009572982788,
|
1206 |
+
"learning_rate": 4.076520971662455e-05,
|
1207 |
+
"loss": 0.8374,
|
1208 |
+
"num_input_tokens_seen": 3500176,
|
1209 |
+
"step": 750
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.5691669807764794,
|
1213 |
+
"grad_norm": 1.7618275880813599,
|
1214 |
+
"learning_rate": 4.065001143876097e-05,
|
1215 |
+
"loss": 0.7302,
|
1216 |
+
"num_input_tokens_seen": 3524048,
|
1217 |
+
"step": 755
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 0.5729362985299661,
|
1221 |
+
"grad_norm": 2.1269426345825195,
|
1222 |
+
"learning_rate": 4.053426411821934e-05,
|
1223 |
+
"loss": 0.754,
|
1224 |
+
"num_input_tokens_seen": 3547056,
|
1225 |
+
"step": 760
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 0.5767056162834527,
|
1229 |
+
"grad_norm": 2.3369758129119873,
|
1230 |
+
"learning_rate": 4.0417971815713584e-05,
|
1231 |
+
"loss": 0.8208,
|
1232 |
+
"num_input_tokens_seen": 3570608,
|
1233 |
+
"step": 765
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.5804749340369393,
|
1237 |
+
"grad_norm": 2.156280279159546,
|
1238 |
+
"learning_rate": 4.030113861107693e-05,
|
1239 |
+
"loss": 0.9635,
|
1240 |
+
"num_input_tokens_seen": 3594192,
|
1241 |
+
"step": 770
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.5842442517904259,
|
1245 |
+
"grad_norm": 1.7685117721557617,
|
1246 |
+
"learning_rate": 4.0183768603118886e-05,
|
1247 |
+
"loss": 0.7606,
|
1248 |
+
"num_input_tokens_seen": 3617600,
|
1249 |
+
"step": 775
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.5880135695439126,
|
1253 |
+
"grad_norm": 2.0940916538238525,
|
1254 |
+
"learning_rate": 4.0065865909481417e-05,
|
1255 |
+
"loss": 0.7283,
|
1256 |
+
"num_input_tokens_seen": 3640416,
|
1257 |
+
"step": 780
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.5917828872973991,
|
1261 |
+
"grad_norm": 2.5771267414093018,
|
1262 |
+
"learning_rate": 3.994743466649442e-05,
|
1263 |
+
"loss": 0.6878,
|
1264 |
+
"num_input_tokens_seen": 3663696,
|
1265 |
+
"step": 785
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.5955522050508858,
|
1269 |
+
"grad_norm": 2.336862087249756,
|
1270 |
+
"learning_rate": 3.982847902903071e-05,
|
1271 |
+
"loss": 0.8009,
|
1272 |
+
"num_input_tokens_seen": 3686880,
|
1273 |
+
"step": 790
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 0.5993215228043725,
|
1277 |
+
"grad_norm": 2.91589093208313,
|
1278 |
+
"learning_rate": 3.9709003170360176e-05,
|
1279 |
+
"loss": 0.794,
|
1280 |
+
"num_input_tokens_seen": 3710224,
|
1281 |
+
"step": 795
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.603090840557859,
|
1285 |
+
"grad_norm": 3.051378011703491,
|
1286 |
+
"learning_rate": 3.958901128200344e-05,
|
1287 |
+
"loss": 0.7532,
|
1288 |
+
"num_input_tokens_seen": 3733536,
|
1289 |
+
"step": 800
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.6068601583113457,
|
1293 |
+
"grad_norm": 3.457322835922241,
|
1294 |
+
"learning_rate": 3.946850757358475e-05,
|
1295 |
+
"loss": 0.8581,
|
1296 |
+
"num_input_tokens_seen": 3756688,
|
1297 |
+
"step": 805
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.6106294760648323,
|
1301 |
+
"grad_norm": 1.4198774099349976,
|
1302 |
+
"learning_rate": 3.9347496272684325e-05,
|
1303 |
+
"loss": 0.7889,
|
1304 |
+
"num_input_tokens_seen": 3779504,
|
1305 |
+
"step": 810
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.6143987938183189,
|
1309 |
+
"grad_norm": 2.5762572288513184,
|
1310 |
+
"learning_rate": 3.922598162469003e-05,
|
1311 |
+
"loss": 0.7401,
|
1312 |
+
"num_input_tokens_seen": 3802544,
|
1313 |
+
"step": 815
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.6181681115718055,
|
1317 |
+
"grad_norm": 2.5552995204925537,
|
1318 |
+
"learning_rate": 3.910396789264845e-05,
|
1319 |
+
"loss": 0.799,
|
1320 |
+
"num_input_tokens_seen": 3825680,
|
1321 |
+
"step": 820
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 0.6219374293252922,
|
1325 |
+
"grad_norm": 1.8057173490524292,
|
1326 |
+
"learning_rate": 3.8981459357115325e-05,
|
1327 |
+
"loss": 0.8015,
|
1328 |
+
"num_input_tokens_seen": 3849040,
|
1329 |
+
"step": 825
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.6257067470787787,
|
1333 |
+
"grad_norm": 1.8398315906524658,
|
1334 |
+
"learning_rate": 3.885846031600536e-05,
|
1335 |
+
"loss": 0.6905,
|
1336 |
+
"num_input_tokens_seen": 3872320,
|
1337 |
+
"step": 830
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 0.6294760648322654,
|
1341 |
+
"grad_norm": 2.7629125118255615,
|
1342 |
+
"learning_rate": 3.8734975084441466e-05,
|
1343 |
+
"loss": 0.845,
|
1344 |
+
"num_input_tokens_seen": 3895920,
|
1345 |
+
"step": 835
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.633245382585752,
|
1349 |
+
"grad_norm": 1.9969942569732666,
|
1350 |
+
"learning_rate": 3.8611007994603365e-05,
|
1351 |
+
"loss": 0.7317,
|
1352 |
+
"num_input_tokens_seen": 3919360,
|
1353 |
+
"step": 840
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.6370147003392386,
|
1357 |
+
"grad_norm": 3.591285467147827,
|
1358 |
+
"learning_rate": 3.8486563395575625e-05,
|
1359 |
+
"loss": 0.724,
|
1360 |
+
"num_input_tokens_seen": 3942736,
|
1361 |
+
"step": 845
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.6407840180927252,
|
1365 |
+
"grad_norm": 2.4714577198028564,
|
1366 |
+
"learning_rate": 3.8361645653195026e-05,
|
1367 |
+
"loss": 0.664,
|
1368 |
+
"num_input_tokens_seen": 3966144,
|
1369 |
+
"step": 850
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 0.6445533358462119,
|
1373 |
+
"grad_norm": 3.081908702850342,
|
1374 |
+
"learning_rate": 3.823625914989748e-05,
|
1375 |
+
"loss": 0.5922,
|
1376 |
+
"num_input_tokens_seen": 3989472,
|
1377 |
+
"step": 855
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.6483226535996984,
|
1381 |
+
"grad_norm": 3.5514636039733887,
|
1382 |
+
"learning_rate": 3.811040828456421e-05,
|
1383 |
+
"loss": 0.9465,
|
1384 |
+
"num_input_tokens_seen": 4012656,
|
1385 |
+
"step": 860
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.6520919713531851,
|
1389 |
+
"grad_norm": 3.4660677909851074,
|
1390 |
+
"learning_rate": 3.798409747236745e-05,
|
1391 |
+
"loss": 0.7781,
|
1392 |
+
"num_input_tokens_seen": 4035888,
|
1393 |
+
"step": 865
|
1394 |
+
},
|
1395 |
+
{
|
1396 |
+
"epoch": 0.6558612891066717,
|
1397 |
+
"grad_norm": 3.08896541595459,
|
1398 |
+
"learning_rate": 3.7857331144615574e-05,
|
1399 |
+
"loss": 0.8309,
|
1400 |
+
"num_input_tokens_seen": 4059504,
|
1401 |
+
"step": 870
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.6596306068601583,
|
1405 |
+
"grad_norm": 2.4300408363342285,
|
1406 |
+
"learning_rate": 3.773011374859761e-05,
|
1407 |
+
"loss": 0.7812,
|
1408 |
+
"num_input_tokens_seen": 4083440,
|
1409 |
+
"step": 875
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.6633999246136449,
|
1413 |
+
"grad_norm": 3.5635619163513184,
|
1414 |
+
"learning_rate": 3.7602449747427204e-05,
|
1415 |
+
"loss": 0.7888,
|
1416 |
+
"num_input_tokens_seen": 4106928,
|
1417 |
+
"step": 880
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.6671692423671316,
|
1421 |
+
"grad_norm": 1.9514297246932983,
|
1422 |
+
"learning_rate": 3.747434361988608e-05,
|
1423 |
+
"loss": 0.7584,
|
1424 |
+
"num_input_tokens_seen": 4130336,
|
1425 |
+
"step": 885
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.6709385601206181,
|
1429 |
+
"grad_norm": 1.6948657035827637,
|
1430 |
+
"learning_rate": 3.734579986026688e-05,
|
1431 |
+
"loss": 0.6848,
|
1432 |
+
"num_input_tokens_seen": 4153872,
|
1433 |
+
"step": 890
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.6747078778741048,
|
1437 |
+
"grad_norm": 1.9811207056045532,
|
1438 |
+
"learning_rate": 3.7216822978215514e-05,
|
1439 |
+
"loss": 0.8068,
|
1440 |
+
"num_input_tokens_seen": 4177072,
|
1441 |
+
"step": 895
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.6784771956275915,
|
1445 |
+
"grad_norm": 3.7668049335479736,
|
1446 |
+
"learning_rate": 3.7087417498572944e-05,
|
1447 |
+
"loss": 0.8122,
|
1448 |
+
"num_input_tokens_seen": 4200256,
|
1449 |
+
"step": 900
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 0.682246513381078,
|
1453 |
+
"grad_norm": 2.3684747219085693,
|
1454 |
+
"learning_rate": 3.695758796121642e-05,
|
1455 |
+
"loss": 0.5764,
|
1456 |
+
"num_input_tokens_seen": 4223264,
|
1457 |
+
"step": 905
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.6860158311345647,
|
1461 |
+
"grad_norm": 2.597867250442505,
|
1462 |
+
"learning_rate": 3.6827338920900254e-05,
|
1463 |
+
"loss": 0.8898,
|
1464 |
+
"num_input_tokens_seen": 4247024,
|
1465 |
+
"step": 910
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.6897851488880513,
|
1469 |
+
"grad_norm": 2.0299720764160156,
|
1470 |
+
"learning_rate": 3.6696674947095984e-05,
|
1471 |
+
"loss": 0.7741,
|
1472 |
+
"num_input_tokens_seen": 4270800,
|
1473 |
+
"step": 915
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.6935544666415379,
|
1477 |
+
"grad_norm": 2.4363317489624023,
|
1478 |
+
"learning_rate": 3.656560062383208e-05,
|
1479 |
+
"loss": 0.8219,
|
1480 |
+
"num_input_tokens_seen": 4294352,
|
1481 |
+
"step": 920
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 0.6973237843950245,
|
1485 |
+
"grad_norm": 1.752125859260559,
|
1486 |
+
"learning_rate": 3.6434120549533135e-05,
|
1487 |
+
"loss": 0.6813,
|
1488 |
+
"num_input_tokens_seen": 4318208,
|
1489 |
+
"step": 925
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 0.7010931021485112,
|
1493 |
+
"grad_norm": 3.325110912322998,
|
1494 |
+
"learning_rate": 3.6302239336858545e-05,
|
1495 |
+
"loss": 0.6866,
|
1496 |
+
"num_input_tokens_seen": 4341728,
|
1497 |
+
"step": 930
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.7048624199019977,
|
1501 |
+
"grad_norm": 1.9037253856658936,
|
1502 |
+
"learning_rate": 3.6169961612540645e-05,
|
1503 |
+
"loss": 0.8628,
|
1504 |
+
"num_input_tokens_seen": 4365392,
|
1505 |
+
"step": 935
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 0.7086317376554844,
|
1509 |
+
"grad_norm": 1.9913270473480225,
|
1510 |
+
"learning_rate": 3.603729201722244e-05,
|
1511 |
+
"loss": 0.8978,
|
1512 |
+
"num_input_tokens_seen": 4389184,
|
1513 |
+
"step": 940
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 0.712401055408971,
|
1517 |
+
"grad_norm": 2.668295383453369,
|
1518 |
+
"learning_rate": 3.5904235205294776e-05,
|
1519 |
+
"loss": 0.7572,
|
1520 |
+
"num_input_tokens_seen": 4412272,
|
1521 |
+
"step": 945
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.7161703731624576,
|
1525 |
+
"grad_norm": 2.363468885421753,
|
1526 |
+
"learning_rate": 3.5770795844733035e-05,
|
1527 |
+
"loss": 0.7205,
|
1528 |
+
"num_input_tokens_seen": 4435072,
|
1529 |
+
"step": 950
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 0.7199396909159442,
|
1533 |
+
"grad_norm": 2.3162343502044678,
|
1534 |
+
"learning_rate": 3.5636978616933416e-05,
|
1535 |
+
"loss": 0.7521,
|
1536 |
+
"num_input_tokens_seen": 4458272,
|
1537 |
+
"step": 955
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 0.7237090086694309,
|
1541 |
+
"grad_norm": 1.9907945394515991,
|
1542 |
+
"learning_rate": 3.550278821654866e-05,
|
1543 |
+
"loss": 0.7205,
|
1544 |
+
"num_input_tokens_seen": 4481056,
|
1545 |
+
"step": 960
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.7274783264229174,
|
1549 |
+
"grad_norm": 2.0076990127563477,
|
1550 |
+
"learning_rate": 3.536822935132336e-05,
|
1551 |
+
"loss": 0.6597,
|
1552 |
+
"num_input_tokens_seen": 4504288,
|
1553 |
+
"step": 965
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 0.7312476441764041,
|
1557 |
+
"grad_norm": 1.6346359252929688,
|
1558 |
+
"learning_rate": 3.5233306741928806e-05,
|
1559 |
+
"loss": 0.7293,
|
1560 |
+
"num_input_tokens_seen": 4527552,
|
1561 |
+
"step": 970
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 0.7350169619298907,
|
1565 |
+
"grad_norm": 2.227130651473999,
|
1566 |
+
"learning_rate": 3.509802512179737e-05,
|
1567 |
+
"loss": 0.7055,
|
1568 |
+
"num_input_tokens_seen": 4551024,
|
1569 |
+
"step": 975
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.7387862796833773,
|
1573 |
+
"grad_norm": 3.003014087677002,
|
1574 |
+
"learning_rate": 3.496238923695646e-05,
|
1575 |
+
"loss": 0.763,
|
1576 |
+
"num_input_tokens_seen": 4574464,
|
1577 |
+
"step": 980
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.742555597436864,
|
1581 |
+
"grad_norm": 2.196281671524048,
|
1582 |
+
"learning_rate": 3.4826403845861986e-05,
|
1583 |
+
"loss": 0.6831,
|
1584 |
+
"num_input_tokens_seen": 4597600,
|
1585 |
+
"step": 985
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 0.7463249151903506,
|
1589 |
+
"grad_norm": 2.487607717514038,
|
1590 |
+
"learning_rate": 3.4690073719231425e-05,
|
1591 |
+
"loss": 0.6586,
|
1592 |
+
"num_input_tokens_seen": 4621424,
|
1593 |
+
"step": 990
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.7500942329438371,
|
1597 |
+
"grad_norm": 2.686861753463745,
|
1598 |
+
"learning_rate": 3.455340363987648e-05,
|
1599 |
+
"loss": 0.7481,
|
1600 |
+
"num_input_tokens_seen": 4644400,
|
1601 |
+
"step": 995
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 0.7538635506973238,
|
1605 |
+
"grad_norm": 2.511491060256958,
|
1606 |
+
"learning_rate": 3.4416398402535284e-05,
|
1607 |
+
"loss": 0.8084,
|
1608 |
+
"num_input_tokens_seen": 4667568,
|
1609 |
+
"step": 1000
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 0.7576328684508103,
|
1613 |
+
"grad_norm": 3.698335886001587,
|
1614 |
+
"learning_rate": 3.427906281370414e-05,
|
1615 |
+
"loss": 0.8876,
|
1616 |
+
"num_input_tokens_seen": 4690624,
|
1617 |
+
"step": 1005
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 0.761402186204297,
|
1621 |
+
"grad_norm": 4.032379150390625,
|
1622 |
+
"learning_rate": 3.414140169146896e-05,
|
1623 |
+
"loss": 0.8391,
|
1624 |
+
"num_input_tokens_seen": 4714032,
|
1625 |
+
"step": 1010
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 0.7651715039577837,
|
1629 |
+
"grad_norm": 1.8396016359329224,
|
1630 |
+
"learning_rate": 3.400341986533618e-05,
|
1631 |
+
"loss": 0.6847,
|
1632 |
+
"num_input_tokens_seen": 4737280,
|
1633 |
+
"step": 1015
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.7689408217112702,
|
1637 |
+
"grad_norm": 2.474912166595459,
|
1638 |
+
"learning_rate": 3.386512217606339e-05,
|
1639 |
+
"loss": 0.6742,
|
1640 |
+
"num_input_tokens_seen": 4760848,
|
1641 |
+
"step": 1020
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.7727101394647569,
|
1645 |
+
"grad_norm": 3.3939056396484375,
|
1646 |
+
"learning_rate": 3.3726513475489445e-05,
|
1647 |
+
"loss": 0.8607,
|
1648 |
+
"num_input_tokens_seen": 4783888,
|
1649 |
+
"step": 1025
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 0.7764794572182435,
|
1653 |
+
"grad_norm": 2.451918363571167,
|
1654 |
+
"learning_rate": 3.3587598626364294e-05,
|
1655 |
+
"loss": 0.6614,
|
1656 |
+
"num_input_tokens_seen": 4807312,
|
1657 |
+
"step": 1030
|
1658 |
+
},
|
1659 |
+
{
|
1660 |
+
"epoch": 0.7802487749717301,
|
1661 |
+
"grad_norm": 2.324479341506958,
|
1662 |
+
"learning_rate": 3.344838250217833e-05,
|
1663 |
+
"loss": 0.7078,
|
1664 |
+
"num_input_tokens_seen": 4831088,
|
1665 |
+
"step": 1035
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 0.7840180927252167,
|
1669 |
+
"grad_norm": 2.647658586502075,
|
1670 |
+
"learning_rate": 3.330886998699149e-05,
|
1671 |
+
"loss": 0.7944,
|
1672 |
+
"num_input_tokens_seen": 4854608,
|
1673 |
+
"step": 1040
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 0.7877874104787034,
|
1677 |
+
"grad_norm": 2.21478533744812,
|
1678 |
+
"learning_rate": 3.316906597526186e-05,
|
1679 |
+
"loss": 0.7436,
|
1680 |
+
"num_input_tokens_seen": 4877648,
|
1681 |
+
"step": 1045
|
1682 |
+
},
|
1683 |
+
{
|
1684 |
+
"epoch": 0.7915567282321899,
|
1685 |
+
"grad_norm": 2.0611255168914795,
|
1686 |
+
"learning_rate": 3.302897537167397e-05,
|
1687 |
+
"loss": 0.8234,
|
1688 |
+
"num_input_tokens_seen": 4900672,
|
1689 |
+
"step": 1050
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.7953260459856766,
|
1693 |
+
"grad_norm": 2.0772039890289307,
|
1694 |
+
"learning_rate": 3.288860309096671e-05,
|
1695 |
+
"loss": 0.6463,
|
1696 |
+
"num_input_tokens_seen": 4924192,
|
1697 |
+
"step": 1055
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.7990953637391632,
|
1701 |
+
"grad_norm": 3.051643133163452,
|
1702 |
+
"learning_rate": 3.2747954057760965e-05,
|
1703 |
+
"loss": 0.6872,
|
1704 |
+
"num_input_tokens_seen": 4947600,
|
1705 |
+
"step": 1060
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"epoch": 0.8028646814926498,
|
1709 |
+
"grad_norm": 2.400989532470703,
|
1710 |
+
"learning_rate": 3.260703320638679e-05,
|
1711 |
+
"loss": 0.6143,
|
1712 |
+
"num_input_tokens_seen": 4971888,
|
1713 |
+
"step": 1065
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 0.8066339992461364,
|
1717 |
+
"grad_norm": 2.88338303565979,
|
1718 |
+
"learning_rate": 3.246584548071034e-05,
|
1719 |
+
"loss": 0.8022,
|
1720 |
+
"num_input_tokens_seen": 4995056,
|
1721 |
+
"step": 1070
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 0.8104033169996231,
|
1725 |
+
"grad_norm": 3.0658576488494873,
|
1726 |
+
"learning_rate": 3.232439583396036e-05,
|
1727 |
+
"loss": 0.7144,
|
1728 |
+
"num_input_tokens_seen": 5018208,
|
1729 |
+
"step": 1075
|
1730 |
+
},
|
1731 |
+
{
|
1732 |
+
"epoch": 0.8141726347531096,
|
1733 |
+
"grad_norm": 2.397193193435669,
|
1734 |
+
"learning_rate": 3.2182689228554517e-05,
|
1735 |
+
"loss": 0.757,
|
1736 |
+
"num_input_tokens_seen": 5041584,
|
1737 |
+
"step": 1080
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.8179419525065963,
|
1741 |
+
"grad_norm": 2.7260894775390625,
|
1742 |
+
"learning_rate": 3.204073063592522e-05,
|
1743 |
+
"loss": 0.729,
|
1744 |
+
"num_input_tokens_seen": 5064352,
|
1745 |
+
"step": 1085
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.821711270260083,
|
1749 |
+
"grad_norm": 2.864222764968872,
|
1750 |
+
"learning_rate": 3.189852503634523e-05,
|
1751 |
+
"loss": 0.7441,
|
1752 |
+
"num_input_tokens_seen": 5087712,
|
1753 |
+
"step": 1090
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 0.8254805880135695,
|
1757 |
+
"grad_norm": 2.9511120319366455,
|
1758 |
+
"learning_rate": 3.1756077418752967e-05,
|
1759 |
+
"loss": 0.8861,
|
1760 |
+
"num_input_tokens_seen": 5111104,
|
1761 |
+
"step": 1095
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 0.8292499057670562,
|
1765 |
+
"grad_norm": 2.240609645843506,
|
1766 |
+
"learning_rate": 3.1613392780577455e-05,
|
1767 |
+
"loss": 0.7098,
|
1768 |
+
"num_input_tokens_seen": 5134720,
|
1769 |
+
"step": 1100
|
1770 |
+
}
|
1771 |
+
],
|
1772 |
+
"logging_steps": 5,
|
1773 |
+
"max_steps": 2652,
|
1774 |
+
"num_input_tokens_seen": 5134720,
|
1775 |
+
"num_train_epochs": 2,
|
1776 |
+
"save_steps": 100,
|
1777 |
+
"stateful_callbacks": {
|
1778 |
+
"TrainerControl": {
|
1779 |
+
"args": {
|
1780 |
+
"should_epoch_stop": false,
|
1781 |
+
"should_evaluate": false,
|
1782 |
+
"should_log": false,
|
1783 |
+
"should_save": true,
|
1784 |
+
"should_training_stop": false
|
1785 |
+
},
|
1786 |
+
"attributes": {}
|
1787 |
+
}
|
1788 |
+
},
|
1789 |
+
"total_flos": 6.114971797487616e+16,
|
1790 |
+
"train_batch_size": 2,
|
1791 |
+
"trial_name": null,
|
1792 |
+
"trial_params": null
|
1793 |
+
}
|
checkpoint-1100/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6bf99f8ecb93d0984855985ecc167fffba04c8ce699d07d18cdb046fa7a5cdf
|
3 |
+
size 5432
|