aleegis commited on
Commit
ee72248
·
verified ·
1 Parent(s): 56a8e15

Training in progress, epoch 0, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: facebook/opt-350m
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 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "facebook/opt-350m",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
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": 32,
14
+ "lora_dropout": 0.15,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "out_proj",
24
+ "k_proj",
25
+ "project_out",
26
+ "fc1",
27
+ "v_proj",
28
+ "project_in",
29
+ "q_proj",
30
+ "fc2"
31
+ ],
32
+ "task_type": "CAUSAL_LM",
33
+ "use_dora": false,
34
+ "use_rslora": false
35
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e1842d0289d059335f06c135c958642873f37de5d5021f03eebf92bef687067b
3
+ size 57056672
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f5fd3b168b7c1eeddc546440219d9d89aed35465f552ae829bc133dbb3c5b22
3
+ size 114282170
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e4b6f9d779f6b65dd634a06a7b96c8fd5e2eb21a5dc80ff3ee8c2e546b7a31f3
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:891cad020bf7bee78efa739dc10e1e4315e34b096ed70226b38590ec81d7d418
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "</s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "</s>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "1": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "2": {
14
+ "content": "</s>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ }
21
+ },
22
+ "bos_token": "</s>",
23
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
24
+ "clean_up_tokenization_spaces": false,
25
+ "eos_token": "</s>",
26
+ "errors": "replace",
27
+ "model_max_length": 1000000000000000019884624838656,
28
+ "pad_token": "<pad>",
29
+ "tokenizer_class": "GPT2Tokenizer",
30
+ "unk_token": "</s>"
31
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,1531 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.661011347361463,
5
+ "eval_steps": 500,
6
+ "global_step": 1500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0030847196210201607,
13
+ "grad_norm": 2.416346311569214,
14
+ "learning_rate": 7.000000000000001e-06,
15
+ "loss": 23.5635,
16
+ "step": 7
17
+ },
18
+ {
19
+ "epoch": 0.0061694392420403215,
20
+ "grad_norm": 2.179997682571411,
21
+ "learning_rate": 1.4000000000000001e-05,
22
+ "loss": 24.2796,
23
+ "step": 14
24
+ },
25
+ {
26
+ "epoch": 0.009254158863060483,
27
+ "grad_norm": 2.3815741539001465,
28
+ "learning_rate": 2.1e-05,
29
+ "loss": 23.4777,
30
+ "step": 21
31
+ },
32
+ {
33
+ "epoch": 0.012338878484080643,
34
+ "grad_norm": 2.2959744930267334,
35
+ "learning_rate": 2.8000000000000003e-05,
36
+ "loss": 22.7741,
37
+ "step": 28
38
+ },
39
+ {
40
+ "epoch": 0.015423598105100805,
41
+ "grad_norm": 2.0814883708953857,
42
+ "learning_rate": 3.5e-05,
43
+ "loss": 23.312,
44
+ "step": 35
45
+ },
46
+ {
47
+ "epoch": 0.018508317726120965,
48
+ "grad_norm": 2.2548601627349854,
49
+ "learning_rate": 4.2e-05,
50
+ "loss": 23.1693,
51
+ "step": 42
52
+ },
53
+ {
54
+ "epoch": 0.021593037347141127,
55
+ "grad_norm": 2.2283570766448975,
56
+ "learning_rate": 4.9e-05,
57
+ "loss": 23.0576,
58
+ "step": 49
59
+ },
60
+ {
61
+ "epoch": 0.024677756968161286,
62
+ "grad_norm": 2.230828046798706,
63
+ "learning_rate": 5.6000000000000006e-05,
64
+ "loss": 22.4088,
65
+ "step": 56
66
+ },
67
+ {
68
+ "epoch": 0.027762476589181448,
69
+ "grad_norm": 2.333780288696289,
70
+ "learning_rate": 6.3e-05,
71
+ "loss": 22.3488,
72
+ "step": 63
73
+ },
74
+ {
75
+ "epoch": 0.03084719621020161,
76
+ "grad_norm": 2.1342034339904785,
77
+ "learning_rate": 7e-05,
78
+ "loss": 21.5944,
79
+ "step": 70
80
+ },
81
+ {
82
+ "epoch": 0.03393191583122177,
83
+ "grad_norm": 2.360670328140259,
84
+ "learning_rate": 7.7e-05,
85
+ "loss": 21.6597,
86
+ "step": 77
87
+ },
88
+ {
89
+ "epoch": 0.03701663545224193,
90
+ "grad_norm": 1.9946174621582031,
91
+ "learning_rate": 8.4e-05,
92
+ "loss": 22.4954,
93
+ "step": 84
94
+ },
95
+ {
96
+ "epoch": 0.04010135507326209,
97
+ "grad_norm": 2.1843321323394775,
98
+ "learning_rate": 9.1e-05,
99
+ "loss": 22.3022,
100
+ "step": 91
101
+ },
102
+ {
103
+ "epoch": 0.043186074694282255,
104
+ "grad_norm": 2.3150522708892822,
105
+ "learning_rate": 9.8e-05,
106
+ "loss": 21.7739,
107
+ "step": 98
108
+ },
109
+ {
110
+ "epoch": 0.04627079431530241,
111
+ "grad_norm": 2.0341029167175293,
112
+ "learning_rate": 9.999685283773504e-05,
113
+ "loss": 21.6292,
114
+ "step": 105
115
+ },
116
+ {
117
+ "epoch": 0.04935551393632257,
118
+ "grad_norm": 2.019920825958252,
119
+ "learning_rate": 9.998187325055106e-05,
120
+ "loss": 21.5738,
121
+ "step": 112
122
+ },
123
+ {
124
+ "epoch": 0.05244023355734274,
125
+ "grad_norm": 2.205152988433838,
126
+ "learning_rate": 9.995456138403733e-05,
127
+ "loss": 21.4902,
128
+ "step": 119
129
+ },
130
+ {
131
+ "epoch": 0.055524953178362896,
132
+ "grad_norm": 2.240128755569458,
133
+ "learning_rate": 9.991492397698826e-05,
134
+ "loss": 21.6133,
135
+ "step": 126
136
+ },
137
+ {
138
+ "epoch": 0.058609672799383054,
139
+ "grad_norm": 2.140727996826172,
140
+ "learning_rate": 9.986297080934089e-05,
141
+ "loss": 22.1083,
142
+ "step": 133
143
+ },
144
+ {
145
+ "epoch": 0.06169439242040322,
146
+ "grad_norm": 2.304687261581421,
147
+ "learning_rate": 9.979871469976196e-05,
148
+ "loss": 21.2837,
149
+ "step": 140
150
+ },
151
+ {
152
+ "epoch": 0.06477911204142338,
153
+ "grad_norm": 2.40910267829895,
154
+ "learning_rate": 9.972217150248503e-05,
155
+ "loss": 21.3895,
156
+ "step": 147
157
+ },
158
+ {
159
+ "epoch": 0.06786383166244354,
160
+ "grad_norm": 2.2335853576660156,
161
+ "learning_rate": 9.963336010339868e-05,
162
+ "loss": 21.8322,
163
+ "step": 154
164
+ },
165
+ {
166
+ "epoch": 0.0709485512834637,
167
+ "grad_norm": 2.457430124282837,
168
+ "learning_rate": 9.953230241538674e-05,
169
+ "loss": 21.0453,
170
+ "step": 161
171
+ },
172
+ {
173
+ "epoch": 0.07403327090448386,
174
+ "grad_norm": 2.061185836791992,
175
+ "learning_rate": 9.941902337292155e-05,
176
+ "loss": 21.4088,
177
+ "step": 168
178
+ },
179
+ {
180
+ "epoch": 0.07711799052550403,
181
+ "grad_norm": 2.324650287628174,
182
+ "learning_rate": 9.92935509259118e-05,
183
+ "loss": 21.6713,
184
+ "step": 175
185
+ },
186
+ {
187
+ "epoch": 0.08020271014652418,
188
+ "grad_norm": 2.3613855838775635,
189
+ "learning_rate": 9.915591603280631e-05,
190
+ "loss": 21.3864,
191
+ "step": 182
192
+ },
193
+ {
194
+ "epoch": 0.08328742976754434,
195
+ "grad_norm": 2.1573920249938965,
196
+ "learning_rate": 9.900615265295552e-05,
197
+ "loss": 21.516,
198
+ "step": 189
199
+ },
200
+ {
201
+ "epoch": 0.08637214938856451,
202
+ "grad_norm": 2.366680145263672,
203
+ "learning_rate": 9.884429773823239e-05,
204
+ "loss": 20.9945,
205
+ "step": 196
206
+ },
207
+ {
208
+ "epoch": 0.08945686900958466,
209
+ "grad_norm": 2.237717866897583,
210
+ "learning_rate": 9.867039122391527e-05,
211
+ "loss": 20.8505,
212
+ "step": 203
213
+ },
214
+ {
215
+ "epoch": 0.09254158863060483,
216
+ "grad_norm": 2.182887554168701,
217
+ "learning_rate": 9.848447601883435e-05,
218
+ "loss": 20.8463,
219
+ "step": 210
220
+ },
221
+ {
222
+ "epoch": 0.09562630825162499,
223
+ "grad_norm": 2.437626361846924,
224
+ "learning_rate": 9.828659799478456e-05,
225
+ "loss": 20.9356,
226
+ "step": 217
227
+ },
228
+ {
229
+ "epoch": 0.09871102787264514,
230
+ "grad_norm": 2.4780032634735107,
231
+ "learning_rate": 9.807680597520746e-05,
232
+ "loss": 20.7796,
233
+ "step": 224
234
+ },
235
+ {
236
+ "epoch": 0.10179574749366531,
237
+ "grad_norm": 2.405442237854004,
238
+ "learning_rate": 9.785515172314463e-05,
239
+ "loss": 20.7798,
240
+ "step": 231
241
+ },
242
+ {
243
+ "epoch": 0.10488046711468547,
244
+ "grad_norm": 2.3394062519073486,
245
+ "learning_rate": 9.762168992846614e-05,
246
+ "loss": 20.091,
247
+ "step": 238
248
+ },
249
+ {
250
+ "epoch": 0.10796518673570563,
251
+ "grad_norm": 2.3465561866760254,
252
+ "learning_rate": 9.737647819437645e-05,
253
+ "loss": 20.8049,
254
+ "step": 245
255
+ },
256
+ {
257
+ "epoch": 0.11104990635672579,
258
+ "grad_norm": 2.3978774547576904,
259
+ "learning_rate": 9.711957702320175e-05,
260
+ "loss": 20.3028,
261
+ "step": 252
262
+ },
263
+ {
264
+ "epoch": 0.11413462597774596,
265
+ "grad_norm": 2.622391939163208,
266
+ "learning_rate": 9.685104980146193e-05,
267
+ "loss": 21.3249,
268
+ "step": 259
269
+ },
270
+ {
271
+ "epoch": 0.11721934559876611,
272
+ "grad_norm": 2.322021484375,
273
+ "learning_rate": 9.657096278423093e-05,
274
+ "loss": 20.3684,
275
+ "step": 266
276
+ },
277
+ {
278
+ "epoch": 0.12030406521978627,
279
+ "grad_norm": 2.2268433570861816,
280
+ "learning_rate": 9.627938507878917e-05,
281
+ "loss": 20.1157,
282
+ "step": 273
283
+ },
284
+ {
285
+ "epoch": 0.12338878484080644,
286
+ "grad_norm": 2.6939849853515625,
287
+ "learning_rate": 9.597638862757255e-05,
288
+ "loss": 20.1678,
289
+ "step": 280
290
+ },
291
+ {
292
+ "epoch": 0.1264735044618266,
293
+ "grad_norm": 2.622375965118408,
294
+ "learning_rate": 9.566204819042152e-05,
295
+ "loss": 20.8389,
296
+ "step": 287
297
+ },
298
+ {
299
+ "epoch": 0.12955822408284676,
300
+ "grad_norm": 2.5094549655914307,
301
+ "learning_rate": 9.533644132613541e-05,
302
+ "loss": 20.0785,
303
+ "step": 294
304
+ },
305
+ {
306
+ "epoch": 0.13264294370386692,
307
+ "grad_norm": 2.5023655891418457,
308
+ "learning_rate": 9.49996483733358e-05,
309
+ "loss": 20.3365,
310
+ "step": 301
311
+ },
312
+ {
313
+ "epoch": 0.1357276633248871,
314
+ "grad_norm": 2.475635290145874,
315
+ "learning_rate": 9.465175243064428e-05,
316
+ "loss": 20.9147,
317
+ "step": 308
318
+ },
319
+ {
320
+ "epoch": 0.13881238294590723,
321
+ "grad_norm": 2.356755256652832,
322
+ "learning_rate": 9.4292839336179e-05,
323
+ "loss": 20.6846,
324
+ "step": 315
325
+ },
326
+ {
327
+ "epoch": 0.1418971025669274,
328
+ "grad_norm": 2.688347339630127,
329
+ "learning_rate": 9.39229976463755e-05,
330
+ "loss": 20.7805,
331
+ "step": 322
332
+ },
333
+ {
334
+ "epoch": 0.14498182218794756,
335
+ "grad_norm": 2.5185210704803467,
336
+ "learning_rate": 9.354231861413668e-05,
337
+ "loss": 20.0641,
338
+ "step": 329
339
+ },
340
+ {
341
+ "epoch": 0.14806654180896772,
342
+ "grad_norm": 2.506746530532837,
343
+ "learning_rate": 9.315089616631752e-05,
344
+ "loss": 20.2469,
345
+ "step": 336
346
+ },
347
+ {
348
+ "epoch": 0.1511512614299879,
349
+ "grad_norm": 2.3669211864471436,
350
+ "learning_rate": 9.274882688055005e-05,
351
+ "loss": 20.7752,
352
+ "step": 343
353
+ },
354
+ {
355
+ "epoch": 0.15423598105100805,
356
+ "grad_norm": 2.7276268005371094,
357
+ "learning_rate": 9.233620996141421e-05,
358
+ "loss": 20.7967,
359
+ "step": 350
360
+ },
361
+ {
362
+ "epoch": 0.1573207006720282,
363
+ "grad_norm": 2.8304104804992676,
364
+ "learning_rate": 9.191314721596072e-05,
365
+ "loss": 21.2756,
366
+ "step": 357
367
+ },
368
+ {
369
+ "epoch": 0.16040542029304836,
370
+ "grad_norm": 2.6918582916259766,
371
+ "learning_rate": 9.147974302859157e-05,
372
+ "loss": 21.0171,
373
+ "step": 364
374
+ },
375
+ {
376
+ "epoch": 0.16349013991406852,
377
+ "grad_norm": 2.7030653953552246,
378
+ "learning_rate": 9.103610433530483e-05,
379
+ "loss": 20.3249,
380
+ "step": 371
381
+ },
382
+ {
383
+ "epoch": 0.1665748595350887,
384
+ "grad_norm": 2.528362512588501,
385
+ "learning_rate": 9.058234059730976e-05,
386
+ "loss": 20.0512,
387
+ "step": 378
388
+ },
389
+ {
390
+ "epoch": 0.16965957915610885,
391
+ "grad_norm": 2.951495885848999,
392
+ "learning_rate": 9.01185637740189e-05,
393
+ "loss": 21.1341,
394
+ "step": 385
395
+ },
396
+ {
397
+ "epoch": 0.17274429877712902,
398
+ "grad_norm": 2.648630142211914,
399
+ "learning_rate": 8.964488829542377e-05,
400
+ "loss": 20.804,
401
+ "step": 392
402
+ },
403
+ {
404
+ "epoch": 0.17582901839814916,
405
+ "grad_norm": 2.99994158744812,
406
+ "learning_rate": 8.916143103386093e-05,
407
+ "loss": 20.2452,
408
+ "step": 399
409
+ },
410
+ {
411
+ "epoch": 0.17891373801916932,
412
+ "grad_norm": 2.698529005050659,
413
+ "learning_rate": 8.866831127517557e-05,
414
+ "loss": 20.4509,
415
+ "step": 406
416
+ },
417
+ {
418
+ "epoch": 0.1819984576401895,
419
+ "grad_norm": 2.649247646331787,
420
+ "learning_rate": 8.81656506892894e-05,
421
+ "loss": 19.8498,
422
+ "step": 413
423
+ },
424
+ {
425
+ "epoch": 0.18508317726120965,
426
+ "grad_norm": 2.640721321105957,
427
+ "learning_rate": 8.765357330018056e-05,
428
+ "loss": 21.0144,
429
+ "step": 420
430
+ },
431
+ {
432
+ "epoch": 0.18816789688222982,
433
+ "grad_norm": 2.5582149028778076,
434
+ "learning_rate": 8.71322054552824e-05,
435
+ "loss": 20.4449,
436
+ "step": 427
437
+ },
438
+ {
439
+ "epoch": 0.19125261650324998,
440
+ "grad_norm": 2.586487054824829,
441
+ "learning_rate": 8.660167579430927e-05,
442
+ "loss": 20.0445,
443
+ "step": 434
444
+ },
445
+ {
446
+ "epoch": 0.19433733612427012,
447
+ "grad_norm": 3.220254421234131,
448
+ "learning_rate": 8.606211521751652e-05,
449
+ "loss": 20.7414,
450
+ "step": 441
451
+ },
452
+ {
453
+ "epoch": 0.1974220557452903,
454
+ "grad_norm": 2.6512460708618164,
455
+ "learning_rate": 8.551365685340285e-05,
456
+ "loss": 20.0391,
457
+ "step": 448
458
+ },
459
+ {
460
+ "epoch": 0.20050677536631045,
461
+ "grad_norm": 2.9190361499786377,
462
+ "learning_rate": 8.495643602586287e-05,
463
+ "loss": 19.989,
464
+ "step": 455
465
+ },
466
+ {
467
+ "epoch": 0.20359149498733062,
468
+ "grad_norm": 2.770519256591797,
469
+ "learning_rate": 8.439059022079789e-05,
470
+ "loss": 19.9756,
471
+ "step": 462
472
+ },
473
+ {
474
+ "epoch": 0.20667621460835078,
475
+ "grad_norm": 2.722433567047119,
476
+ "learning_rate": 8.381625905219339e-05,
477
+ "loss": 20.0968,
478
+ "step": 469
479
+ },
480
+ {
481
+ "epoch": 0.20976093422937095,
482
+ "grad_norm": 2.667473793029785,
483
+ "learning_rate": 8.32335842276713e-05,
484
+ "loss": 19.2765,
485
+ "step": 476
486
+ },
487
+ {
488
+ "epoch": 0.2128456538503911,
489
+ "grad_norm": 2.8417649269104004,
490
+ "learning_rate": 8.264270951352581e-05,
491
+ "loss": 20.6839,
492
+ "step": 483
493
+ },
494
+ {
495
+ "epoch": 0.21593037347141125,
496
+ "grad_norm": 2.5752272605895996,
497
+ "learning_rate": 8.20437806992512e-05,
498
+ "loss": 19.9479,
499
+ "step": 490
500
+ },
501
+ {
502
+ "epoch": 0.21901509309243142,
503
+ "grad_norm": 2.998474597930908,
504
+ "learning_rate": 8.143694556157046e-05,
505
+ "loss": 20.2107,
506
+ "step": 497
507
+ },
508
+ {
509
+ "epoch": 0.22209981271345158,
510
+ "grad_norm": 2.778343677520752,
511
+ "learning_rate": 8.082235382797349e-05,
512
+ "loss": 19.7211,
513
+ "step": 504
514
+ },
515
+ {
516
+ "epoch": 0.22518453233447175,
517
+ "grad_norm": 2.9170329570770264,
518
+ "learning_rate": 8.020015713977427e-05,
519
+ "loss": 19.6575,
520
+ "step": 511
521
+ },
522
+ {
523
+ "epoch": 0.22826925195549191,
524
+ "grad_norm": 3.0816757678985596,
525
+ "learning_rate": 7.957050901469545e-05,
526
+ "loss": 20.2297,
527
+ "step": 518
528
+ },
529
+ {
530
+ "epoch": 0.23135397157651205,
531
+ "grad_norm": 2.636806011199951,
532
+ "learning_rate": 7.89335648089903e-05,
533
+ "loss": 20.7546,
534
+ "step": 525
535
+ },
536
+ {
537
+ "epoch": 0.23443869119753222,
538
+ "grad_norm": 3.121128559112549,
539
+ "learning_rate": 7.828948167911074e-05,
540
+ "loss": 20.1973,
541
+ "step": 532
542
+ },
543
+ {
544
+ "epoch": 0.23752341081855238,
545
+ "grad_norm": 2.9973998069763184,
546
+ "learning_rate": 7.763841854293145e-05,
547
+ "loss": 20.3803,
548
+ "step": 539
549
+ },
550
+ {
551
+ "epoch": 0.24060813043957255,
552
+ "grad_norm": 3.005627393722534,
553
+ "learning_rate": 7.698053604053922e-05,
554
+ "loss": 20.769,
555
+ "step": 546
556
+ },
557
+ {
558
+ "epoch": 0.24369285006059271,
559
+ "grad_norm": 2.5811495780944824,
560
+ "learning_rate": 7.631599649459744e-05,
561
+ "loss": 19.2179,
562
+ "step": 553
563
+ },
564
+ {
565
+ "epoch": 0.24677756968161288,
566
+ "grad_norm": 2.6861519813537598,
567
+ "learning_rate": 7.564496387029532e-05,
568
+ "loss": 20.4639,
569
+ "step": 560
570
+ },
571
+ {
572
+ "epoch": 0.24986228930263302,
573
+ "grad_norm": 3.1090645790100098,
574
+ "learning_rate": 7.496760373489202e-05,
575
+ "loss": 20.6762,
576
+ "step": 567
577
+ },
578
+ {
579
+ "epoch": 0.2529470089236532,
580
+ "grad_norm": 3.1814725399017334,
581
+ "learning_rate": 7.428408321686541e-05,
582
+ "loss": 20.213,
583
+ "step": 574
584
+ },
585
+ {
586
+ "epoch": 0.2560317285446734,
587
+ "grad_norm": 3.1218533515930176,
588
+ "learning_rate": 7.35945709646756e-05,
589
+ "loss": 20.5288,
590
+ "step": 581
591
+ },
592
+ {
593
+ "epoch": 0.2591164481656935,
594
+ "grad_norm": 3.204477548599243,
595
+ "learning_rate": 7.289923710515339e-05,
596
+ "loss": 19.7391,
597
+ "step": 588
598
+ },
599
+ {
600
+ "epoch": 0.26220116778671365,
601
+ "grad_norm": 2.90537428855896,
602
+ "learning_rate": 7.219825320152411e-05,
603
+ "loss": 20.0142,
604
+ "step": 595
605
+ },
606
+ {
607
+ "epoch": 0.26528588740773384,
608
+ "grad_norm": 2.678103446960449,
609
+ "learning_rate": 7.149179221107694e-05,
610
+ "loss": 20.6346,
611
+ "step": 602
612
+ },
613
+ {
614
+ "epoch": 0.268370607028754,
615
+ "grad_norm": 3.1011834144592285,
616
+ "learning_rate": 7.078002844249032e-05,
617
+ "loss": 20.1728,
618
+ "step": 609
619
+ },
620
+ {
621
+ "epoch": 0.2714553266497742,
622
+ "grad_norm": 2.723069429397583,
623
+ "learning_rate": 7.006313751282372e-05,
624
+ "loss": 19.8334,
625
+ "step": 616
626
+ },
627
+ {
628
+ "epoch": 0.2745400462707943,
629
+ "grad_norm": 3.0159788131713867,
630
+ "learning_rate": 6.934129630418701e-05,
631
+ "loss": 19.4592,
632
+ "step": 623
633
+ },
634
+ {
635
+ "epoch": 0.27762476589181445,
636
+ "grad_norm": 2.8916268348693848,
637
+ "learning_rate": 6.861468292009727e-05,
638
+ "loss": 19.0861,
639
+ "step": 630
640
+ },
641
+ {
642
+ "epoch": 0.28070948551283464,
643
+ "grad_norm": 2.950063943862915,
644
+ "learning_rate": 6.788347664153447e-05,
645
+ "loss": 20.0214,
646
+ "step": 637
647
+ },
648
+ {
649
+ "epoch": 0.2837942051338548,
650
+ "grad_norm": 2.842519760131836,
651
+ "learning_rate": 6.714785788270658e-05,
652
+ "loss": 19.056,
653
+ "step": 644
654
+ },
655
+ {
656
+ "epoch": 0.286878924754875,
657
+ "grad_norm": 2.8973655700683594,
658
+ "learning_rate": 6.640800814653503e-05,
659
+ "loss": 19.6187,
660
+ "step": 651
661
+ },
662
+ {
663
+ "epoch": 0.2899636443758951,
664
+ "grad_norm": 2.975876808166504,
665
+ "learning_rate": 6.566410997987163e-05,
666
+ "loss": 19.8787,
667
+ "step": 658
668
+ },
669
+ {
670
+ "epoch": 0.2930483639969153,
671
+ "grad_norm": 3.0167558193206787,
672
+ "learning_rate": 6.49163469284578e-05,
673
+ "loss": 20.5267,
674
+ "step": 665
675
+ },
676
+ {
677
+ "epoch": 0.29613308361793544,
678
+ "grad_norm": 3.1982202529907227,
679
+ "learning_rate": 6.416490349163748e-05,
680
+ "loss": 20.2634,
681
+ "step": 672
682
+ },
683
+ {
684
+ "epoch": 0.2992178032389556,
685
+ "grad_norm": 2.9147167205810547,
686
+ "learning_rate": 6.340996507683458e-05,
687
+ "loss": 19.7286,
688
+ "step": 679
689
+ },
690
+ {
691
+ "epoch": 0.3023025228599758,
692
+ "grad_norm": 3.111374616622925,
693
+ "learning_rate": 6.265171795380659e-05,
694
+ "loss": 20.043,
695
+ "step": 686
696
+ },
697
+ {
698
+ "epoch": 0.3053872424809959,
699
+ "grad_norm": 2.8042960166931152,
700
+ "learning_rate": 6.189034920868522e-05,
701
+ "loss": 19.6608,
702
+ "step": 693
703
+ },
704
+ {
705
+ "epoch": 0.3084719621020161,
706
+ "grad_norm": 2.809349536895752,
707
+ "learning_rate": 6.112604669781572e-05,
708
+ "loss": 19.8869,
709
+ "step": 700
710
+ },
711
+ {
712
+ "epoch": 0.31155668172303624,
713
+ "grad_norm": 2.867894172668457,
714
+ "learning_rate": 6.0358999001406156e-05,
715
+ "loss": 20.4228,
716
+ "step": 707
717
+ },
718
+ {
719
+ "epoch": 0.3146414013440564,
720
+ "grad_norm": 3.0357677936553955,
721
+ "learning_rate": 5.9589395376998e-05,
722
+ "loss": 18.8881,
723
+ "step": 714
724
+ },
725
+ {
726
+ "epoch": 0.3177261209650766,
727
+ "grad_norm": 3.256911516189575,
728
+ "learning_rate": 5.8817425712769794e-05,
729
+ "loss": 19.7992,
730
+ "step": 721
731
+ },
732
+ {
733
+ "epoch": 0.3208108405860967,
734
+ "grad_norm": 3.1102960109710693,
735
+ "learning_rate": 5.804328048068492e-05,
736
+ "loss": 19.3251,
737
+ "step": 728
738
+ },
739
+ {
740
+ "epoch": 0.3238955602071169,
741
+ "grad_norm": 3.086207866668701,
742
+ "learning_rate": 5.7267150689495644e-05,
743
+ "loss": 20.0696,
744
+ "step": 735
745
+ },
746
+ {
747
+ "epoch": 0.32698027982813704,
748
+ "grad_norm": 3.2523818016052246,
749
+ "learning_rate": 5.648922783761443e-05,
750
+ "loss": 20.3309,
751
+ "step": 742
752
+ },
753
+ {
754
+ "epoch": 0.33006499944915724,
755
+ "grad_norm": 2.8286468982696533,
756
+ "learning_rate": 5.570970386586469e-05,
757
+ "loss": 19.3409,
758
+ "step": 749
759
+ },
760
+ {
761
+ "epoch": 0.3331497190701774,
762
+ "grad_norm": 3.046022415161133,
763
+ "learning_rate": 5.492877111012218e-05,
764
+ "loss": 19.3339,
765
+ "step": 756
766
+ },
767
+ {
768
+ "epoch": 0.3362344386911975,
769
+ "grad_norm": 2.988107204437256,
770
+ "learning_rate": 5.414662225385903e-05,
771
+ "loss": 19.6734,
772
+ "step": 763
773
+ },
774
+ {
775
+ "epoch": 0.3393191583122177,
776
+ "grad_norm": 2.9048714637756348,
777
+ "learning_rate": 5.336345028060199e-05,
778
+ "loss": 19.4514,
779
+ "step": 770
780
+ },
781
+ {
782
+ "epoch": 0.34240387793323784,
783
+ "grad_norm": 3.073075294494629,
784
+ "learning_rate": 5.257944842631658e-05,
785
+ "loss": 19.525,
786
+ "step": 777
787
+ },
788
+ {
789
+ "epoch": 0.34548859755425804,
790
+ "grad_norm": 2.7497434616088867,
791
+ "learning_rate": 5.179481013172912e-05,
792
+ "loss": 19.2898,
793
+ "step": 784
794
+ },
795
+ {
796
+ "epoch": 0.3485733171752782,
797
+ "grad_norm": 2.99352765083313,
798
+ "learning_rate": 5.100972899459796e-05,
799
+ "loss": 19.632,
800
+ "step": 791
801
+ },
802
+ {
803
+ "epoch": 0.3516580367962983,
804
+ "grad_norm": 2.820322275161743,
805
+ "learning_rate": 5.022439872194629e-05,
806
+ "loss": 19.9252,
807
+ "step": 798
808
+ },
809
+ {
810
+ "epoch": 0.3547427564173185,
811
+ "grad_norm": 3.083574056625366,
812
+ "learning_rate": 4.943901308226771e-05,
813
+ "loss": 20.1958,
814
+ "step": 805
815
+ },
816
+ {
817
+ "epoch": 0.35782747603833864,
818
+ "grad_norm": 2.9774820804595947,
819
+ "learning_rate": 4.865376585771687e-05,
820
+ "loss": 19.4867,
821
+ "step": 812
822
+ },
823
+ {
824
+ "epoch": 0.36091219565935884,
825
+ "grad_norm": 3.1358230113983154,
826
+ "learning_rate": 4.7868850796296495e-05,
827
+ "loss": 19.4092,
828
+ "step": 819
829
+ },
830
+ {
831
+ "epoch": 0.363996915280379,
832
+ "grad_norm": 2.8246376514434814,
833
+ "learning_rate": 4.708446156405307e-05,
834
+ "loss": 19.7939,
835
+ "step": 826
836
+ },
837
+ {
838
+ "epoch": 0.36708163490139917,
839
+ "grad_norm": 2.7796778678894043,
840
+ "learning_rate": 4.630079169729257e-05,
841
+ "loss": 19.0637,
842
+ "step": 833
843
+ },
844
+ {
845
+ "epoch": 0.3701663545224193,
846
+ "grad_norm": 2.9270405769348145,
847
+ "learning_rate": 4.551803455482833e-05,
848
+ "loss": 19.7355,
849
+ "step": 840
850
+ },
851
+ {
852
+ "epoch": 0.37325107414343944,
853
+ "grad_norm": 3.2176382541656494,
854
+ "learning_rate": 4.473638327027259e-05,
855
+ "loss": 20.4546,
856
+ "step": 847
857
+ },
858
+ {
859
+ "epoch": 0.37633579376445964,
860
+ "grad_norm": 3.1589975357055664,
861
+ "learning_rate": 4.395603070438373e-05,
862
+ "loss": 20.7552,
863
+ "step": 854
864
+ },
865
+ {
866
+ "epoch": 0.3794205133854798,
867
+ "grad_norm": 2.9611129760742188,
868
+ "learning_rate": 4.31771693974807e-05,
869
+ "loss": 19.5708,
870
+ "step": 861
871
+ },
872
+ {
873
+ "epoch": 0.38250523300649997,
874
+ "grad_norm": 2.9310545921325684,
875
+ "learning_rate": 4.239999152193664e-05,
876
+ "loss": 19.0704,
877
+ "step": 868
878
+ },
879
+ {
880
+ "epoch": 0.3855899526275201,
881
+ "grad_norm": 2.7281360626220703,
882
+ "learning_rate": 4.162468883476319e-05,
883
+ "loss": 19.631,
884
+ "step": 875
885
+ },
886
+ {
887
+ "epoch": 0.38867467224854024,
888
+ "grad_norm": 2.9932737350463867,
889
+ "learning_rate": 4.085145263029726e-05,
890
+ "loss": 20.2681,
891
+ "step": 882
892
+ },
893
+ {
894
+ "epoch": 0.39175939186956044,
895
+ "grad_norm": 3.23228120803833,
896
+ "learning_rate": 4.008047369300218e-05,
897
+ "loss": 19.3911,
898
+ "step": 889
899
+ },
900
+ {
901
+ "epoch": 0.3948441114905806,
902
+ "grad_norm": 3.382631540298462,
903
+ "learning_rate": 3.9311942250394276e-05,
904
+ "loss": 19.8889,
905
+ "step": 896
906
+ },
907
+ {
908
+ "epoch": 0.39792883111160077,
909
+ "grad_norm": 3.813472032546997,
910
+ "learning_rate": 3.8546047926107256e-05,
911
+ "loss": 19.2962,
912
+ "step": 903
913
+ },
914
+ {
915
+ "epoch": 0.4010135507326209,
916
+ "grad_norm": 3.2448301315307617,
917
+ "learning_rate": 3.778297969310529e-05,
918
+ "loss": 19.6148,
919
+ "step": 910
920
+ },
921
+ {
922
+ "epoch": 0.4040982703536411,
923
+ "grad_norm": 3.1098744869232178,
924
+ "learning_rate": 3.7022925827056884e-05,
925
+ "loss": 19.6414,
926
+ "step": 917
927
+ },
928
+ {
929
+ "epoch": 0.40718298997466124,
930
+ "grad_norm": 3.254763603210449,
931
+ "learning_rate": 3.62660738598805e-05,
932
+ "loss": 19.6441,
933
+ "step": 924
934
+ },
935
+ {
936
+ "epoch": 0.4102677095956814,
937
+ "grad_norm": 2.825139284133911,
938
+ "learning_rate": 3.551261053347404e-05,
939
+ "loss": 19.0871,
940
+ "step": 931
941
+ },
942
+ {
943
+ "epoch": 0.41335242921670157,
944
+ "grad_norm": 3.137845039367676,
945
+ "learning_rate": 3.4762721753638995e-05,
946
+ "loss": 21.1325,
947
+ "step": 938
948
+ },
949
+ {
950
+ "epoch": 0.4164371488377217,
951
+ "grad_norm": 2.8734850883483887,
952
+ "learning_rate": 3.401659254421094e-05,
953
+ "loss": 20.395,
954
+ "step": 945
955
+ },
956
+ {
957
+ "epoch": 0.4195218684587419,
958
+ "grad_norm": 3.046984910964966,
959
+ "learning_rate": 3.3274407001407735e-05,
960
+ "loss": 20.0349,
961
+ "step": 952
962
+ },
963
+ {
964
+ "epoch": 0.42260658807976204,
965
+ "grad_norm": 3.024266242980957,
966
+ "learning_rate": 3.2536348248406534e-05,
967
+ "loss": 19.3565,
968
+ "step": 959
969
+ },
970
+ {
971
+ "epoch": 0.4256913077007822,
972
+ "grad_norm": 2.8583052158355713,
973
+ "learning_rate": 3.1802598390160784e-05,
974
+ "loss": 19.5142,
975
+ "step": 966
976
+ },
977
+ {
978
+ "epoch": 0.42877602732180237,
979
+ "grad_norm": 2.9113707542419434,
980
+ "learning_rate": 3.107333846846872e-05,
981
+ "loss": 18.874,
982
+ "step": 973
983
+ },
984
+ {
985
+ "epoch": 0.4318607469428225,
986
+ "grad_norm": 2.8726882934570312,
987
+ "learning_rate": 3.0348748417303823e-05,
988
+ "loss": 18.9628,
989
+ "step": 980
990
+ },
991
+ {
992
+ "epoch": 0.4349454665638427,
993
+ "grad_norm": 2.905684471130371,
994
+ "learning_rate": 2.9629007018418985e-05,
995
+ "loss": 19.7288,
996
+ "step": 987
997
+ },
998
+ {
999
+ "epoch": 0.43803018618486284,
1000
+ "grad_norm": 2.931853771209717,
1001
+ "learning_rate": 2.8914291857234636e-05,
1002
+ "loss": 19.6123,
1003
+ "step": 994
1004
+ },
1005
+ {
1006
+ "epoch": 0.44111490580588303,
1007
+ "grad_norm": 2.875977039337158,
1008
+ "learning_rate": 2.8204779279022276e-05,
1009
+ "loss": 19.1103,
1010
+ "step": 1001
1011
+ },
1012
+ {
1013
+ "epoch": 0.44419962542690317,
1014
+ "grad_norm": 3.1230177879333496,
1015
+ "learning_rate": 2.7500644345393943e-05,
1016
+ "loss": 19.3083,
1017
+ "step": 1008
1018
+ },
1019
+ {
1020
+ "epoch": 0.4472843450479233,
1021
+ "grad_norm": 2.8177175521850586,
1022
+ "learning_rate": 2.68020607911083e-05,
1023
+ "loss": 19.2991,
1024
+ "step": 1015
1025
+ },
1026
+ {
1027
+ "epoch": 0.4503690646689435,
1028
+ "grad_norm": 2.941176652908325,
1029
+ "learning_rate": 2.610920098120424e-05,
1030
+ "loss": 19.0886,
1031
+ "step": 1022
1032
+ },
1033
+ {
1034
+ "epoch": 0.45345378428996364,
1035
+ "grad_norm": 3.299826145172119,
1036
+ "learning_rate": 2.5422235868472345e-05,
1037
+ "loss": 19.3967,
1038
+ "step": 1029
1039
+ },
1040
+ {
1041
+ "epoch": 0.45653850391098383,
1042
+ "grad_norm": 3.285066604614258,
1043
+ "learning_rate": 2.4741334951274947e-05,
1044
+ "loss": 19.9651,
1045
+ "step": 1036
1046
+ },
1047
+ {
1048
+ "epoch": 0.45962322353200397,
1049
+ "grad_norm": 2.9992995262145996,
1050
+ "learning_rate": 2.40666662317248e-05,
1051
+ "loss": 19.4277,
1052
+ "step": 1043
1053
+ },
1054
+ {
1055
+ "epoch": 0.4627079431530241,
1056
+ "grad_norm": 2.8765876293182373,
1057
+ "learning_rate": 2.3398396174233178e-05,
1058
+ "loss": 19.9635,
1059
+ "step": 1050
1060
+ },
1061
+ {
1062
+ "epoch": 0.4657926627740443,
1063
+ "grad_norm": 2.8303496837615967,
1064
+ "learning_rate": 2.2736689664437217e-05,
1065
+ "loss": 19.0895,
1066
+ "step": 1057
1067
+ },
1068
+ {
1069
+ "epoch": 0.46887738239506443,
1070
+ "grad_norm": 2.9009594917297363,
1071
+ "learning_rate": 2.2081709968516866e-05,
1072
+ "loss": 19.371,
1073
+ "step": 1064
1074
+ },
1075
+ {
1076
+ "epoch": 0.47196210201608463,
1077
+ "grad_norm": 2.944718837738037,
1078
+ "learning_rate": 2.1433618692911467e-05,
1079
+ "loss": 19.6877,
1080
+ "step": 1071
1081
+ },
1082
+ {
1083
+ "epoch": 0.47504682163710477,
1084
+ "grad_norm": 3.013751983642578,
1085
+ "learning_rate": 2.0792575744445653e-05,
1086
+ "loss": 20.4626,
1087
+ "step": 1078
1088
+ },
1089
+ {
1090
+ "epoch": 0.4781315412581249,
1091
+ "grad_norm": 2.8704001903533936,
1092
+ "learning_rate": 2.015873929087482e-05,
1093
+ "loss": 19.0005,
1094
+ "step": 1085
1095
+ },
1096
+ {
1097
+ "epoch": 0.4812162608791451,
1098
+ "grad_norm": 3.1911540031433105,
1099
+ "learning_rate": 1.95322657218596e-05,
1100
+ "loss": 19.5359,
1101
+ "step": 1092
1102
+ },
1103
+ {
1104
+ "epoch": 0.48430098050016523,
1105
+ "grad_norm": 3.5429601669311523,
1106
+ "learning_rate": 1.8913309610379015e-05,
1107
+ "loss": 19.3831,
1108
+ "step": 1099
1109
+ },
1110
+ {
1111
+ "epoch": 0.48738570012118543,
1112
+ "grad_norm": 2.8143036365509033,
1113
+ "learning_rate": 1.8302023674591935e-05,
1114
+ "loss": 19.3294,
1115
+ "step": 1106
1116
+ },
1117
+ {
1118
+ "epoch": 0.49047041974220557,
1119
+ "grad_norm": 2.7880630493164062,
1120
+ "learning_rate": 1.7698558740156135e-05,
1121
+ "loss": 19.48,
1122
+ "step": 1113
1123
+ },
1124
+ {
1125
+ "epoch": 0.49355513936322576,
1126
+ "grad_norm": 2.929053544998169,
1127
+ "learning_rate": 1.7103063703014372e-05,
1128
+ "loss": 19.0396,
1129
+ "step": 1120
1130
+ },
1131
+ {
1132
+ "epoch": 0.4966398589842459,
1133
+ "grad_norm": 2.9036405086517334,
1134
+ "learning_rate": 1.6515685492656467e-05,
1135
+ "loss": 20.3919,
1136
+ "step": 1127
1137
+ },
1138
+ {
1139
+ "epoch": 0.49972457860526603,
1140
+ "grad_norm": 3.1344425678253174,
1141
+ "learning_rate": 1.59365690358667e-05,
1142
+ "loss": 19.4341,
1143
+ "step": 1134
1144
+ },
1145
+ {
1146
+ "epoch": 0.5028092982262862,
1147
+ "grad_norm": 2.934563636779785,
1148
+ "learning_rate": 1.5365857220965275e-05,
1149
+ "loss": 18.8088,
1150
+ "step": 1141
1151
+ },
1152
+ {
1153
+ "epoch": 0.5058940178473064,
1154
+ "grad_norm": 3.0883371829986572,
1155
+ "learning_rate": 1.4803690862552755e-05,
1156
+ "loss": 19.3404,
1157
+ "step": 1148
1158
+ },
1159
+ {
1160
+ "epoch": 0.5089787374683266,
1161
+ "grad_norm": 2.808397054672241,
1162
+ "learning_rate": 1.4250208666766235e-05,
1163
+ "loss": 19.0109,
1164
+ "step": 1155
1165
+ },
1166
+ {
1167
+ "epoch": 0.5120634570893468,
1168
+ "grad_norm": 2.759035587310791,
1169
+ "learning_rate": 1.3705547197055584e-05,
1170
+ "loss": 19.0286,
1171
+ "step": 1162
1172
+ },
1173
+ {
1174
+ "epoch": 0.5151481767103668,
1175
+ "grad_norm": 2.8846778869628906,
1176
+ "learning_rate": 1.3169840840488501e-05,
1177
+ "loss": 19.7108,
1178
+ "step": 1169
1179
+ },
1180
+ {
1181
+ "epoch": 0.518232896331387,
1182
+ "grad_norm": 2.950453519821167,
1183
+ "learning_rate": 1.2643221774592518e-05,
1184
+ "loss": 19.3757,
1185
+ "step": 1176
1186
+ },
1187
+ {
1188
+ "epoch": 0.5213176159524072,
1189
+ "grad_norm": 2.7792983055114746,
1190
+ "learning_rate": 1.2125819934742188e-05,
1191
+ "loss": 19.4143,
1192
+ "step": 1183
1193
+ },
1194
+ {
1195
+ "epoch": 0.5244023355734273,
1196
+ "grad_norm": 2.9369263648986816,
1197
+ "learning_rate": 1.1617762982099446e-05,
1198
+ "loss": 19.3769,
1199
+ "step": 1190
1200
+ },
1201
+ {
1202
+ "epoch": 0.5274870551944475,
1203
+ "grad_norm": 3.277841091156006,
1204
+ "learning_rate": 1.1119176272115128e-05,
1205
+ "loss": 19.0001,
1206
+ "step": 1197
1207
+ },
1208
+ {
1209
+ "epoch": 0.5305717748154677,
1210
+ "grad_norm": 3.007042169570923,
1211
+ "learning_rate": 1.0630182823599399e-05,
1212
+ "loss": 19.3827,
1213
+ "step": 1204
1214
+ },
1215
+ {
1216
+ "epoch": 0.5336564944364878,
1217
+ "grad_norm": 2.832447052001953,
1218
+ "learning_rate": 1.0150903288368741e-05,
1219
+ "loss": 19.1139,
1220
+ "step": 1211
1221
+ },
1222
+ {
1223
+ "epoch": 0.536741214057508,
1224
+ "grad_norm": 3.4219977855682373,
1225
+ "learning_rate": 9.681455921476839e-06,
1226
+ "loss": 18.8895,
1227
+ "step": 1218
1228
+ },
1229
+ {
1230
+ "epoch": 0.5398259336785282,
1231
+ "grad_norm": 3.0190682411193848,
1232
+ "learning_rate": 9.221956552036992e-06,
1233
+ "loss": 18.9905,
1234
+ "step": 1225
1235
+ },
1236
+ {
1237
+ "epoch": 0.5429106532995484,
1238
+ "grad_norm": 2.9112884998321533,
1239
+ "learning_rate": 8.772518554642973e-06,
1240
+ "loss": 18.9397,
1241
+ "step": 1232
1242
+ },
1243
+ {
1244
+ "epoch": 0.5459953729205684,
1245
+ "grad_norm": 3.5647706985473633,
1246
+ "learning_rate": 8.333252821395526e-06,
1247
+ "loss": 19.9344,
1248
+ "step": 1239
1249
+ },
1250
+ {
1251
+ "epoch": 0.5490800925415886,
1252
+ "grad_norm": 2.910604953765869,
1253
+ "learning_rate": 7.904267734541498e-06,
1254
+ "loss": 19.9231,
1255
+ "step": 1246
1256
+ },
1257
+ {
1258
+ "epoch": 0.5521648121626088,
1259
+ "grad_norm": 3.173757791519165,
1260
+ "learning_rate": 7.485669139732004e-06,
1261
+ "loss": 19.2161,
1262
+ "step": 1253
1263
+ },
1264
+ {
1265
+ "epoch": 0.5552495317836289,
1266
+ "grad_norm": 3.1094110012054443,
1267
+ "learning_rate": 7.077560319906695e-06,
1268
+ "loss": 19.7072,
1269
+ "step": 1260
1270
+ },
1271
+ {
1272
+ "epoch": 0.5583342514046491,
1273
+ "grad_norm": 2.935187339782715,
1274
+ "learning_rate": 6.680041969810203e-06,
1275
+ "loss": 19.9481,
1276
+ "step": 1267
1277
+ },
1278
+ {
1279
+ "epoch": 0.5614189710256693,
1280
+ "grad_norm": 2.720287799835205,
1281
+ "learning_rate": 6.293212171147206e-06,
1282
+ "loss": 19.1016,
1283
+ "step": 1274
1284
+ },
1285
+ {
1286
+ "epoch": 0.5645036906466895,
1287
+ "grad_norm": 3.204946994781494,
1288
+ "learning_rate": 5.917166368382277e-06,
1289
+ "loss": 19.2001,
1290
+ "step": 1281
1291
+ },
1292
+ {
1293
+ "epoch": 0.5675884102677096,
1294
+ "grad_norm": 2.843729019165039,
1295
+ "learning_rate": 5.5519973451903405e-06,
1296
+ "loss": 19.4673,
1297
+ "step": 1288
1298
+ },
1299
+ {
1300
+ "epoch": 0.5706731298887298,
1301
+ "grad_norm": 3.0020055770874023,
1302
+ "learning_rate": 5.197795201563743e-06,
1303
+ "loss": 19.4574,
1304
+ "step": 1295
1305
+ },
1306
+ {
1307
+ "epoch": 0.57375784950975,
1308
+ "grad_norm": 2.837780714035034,
1309
+ "learning_rate": 4.8546473315813856e-06,
1310
+ "loss": 19.7657,
1311
+ "step": 1302
1312
+ },
1313
+ {
1314
+ "epoch": 0.57684256913077,
1315
+ "grad_norm": 2.8947691917419434,
1316
+ "learning_rate": 4.522638401845547e-06,
1317
+ "loss": 18.9782,
1318
+ "step": 1309
1319
+ },
1320
+ {
1321
+ "epoch": 0.5799272887517902,
1322
+ "grad_norm": 3.3117258548736572,
1323
+ "learning_rate": 4.2018503305916775e-06,
1324
+ "loss": 19.4101,
1325
+ "step": 1316
1326
+ },
1327
+ {
1328
+ "epoch": 0.5830120083728104,
1329
+ "grad_norm": 2.7846477031707764,
1330
+ "learning_rate": 3.892362267476313e-06,
1331
+ "loss": 19.7598,
1332
+ "step": 1323
1333
+ },
1334
+ {
1335
+ "epoch": 0.5860967279938306,
1336
+ "grad_norm": 3.0101373195648193,
1337
+ "learning_rate": 3.5942505740480582e-06,
1338
+ "loss": 18.8845,
1339
+ "step": 1330
1340
+ },
1341
+ {
1342
+ "epoch": 0.5891814476148507,
1343
+ "grad_norm": 2.84769868850708,
1344
+ "learning_rate": 3.3075888049065196e-06,
1345
+ "loss": 20.0114,
1346
+ "step": 1337
1347
+ },
1348
+ {
1349
+ "epoch": 0.5922661672358709,
1350
+ "grad_norm": 2.7414329051971436,
1351
+ "learning_rate": 3.03244768955383e-06,
1352
+ "loss": 19.705,
1353
+ "step": 1344
1354
+ },
1355
+ {
1356
+ "epoch": 0.5953508868568911,
1357
+ "grad_norm": 3.127094030380249,
1358
+ "learning_rate": 2.7688951149431595e-06,
1359
+ "loss": 19.0974,
1360
+ "step": 1351
1361
+ },
1362
+ {
1363
+ "epoch": 0.5984356064779112,
1364
+ "grad_norm": 2.868130922317505,
1365
+ "learning_rate": 2.5169961087286974e-06,
1366
+ "loss": 19.2643,
1367
+ "step": 1358
1368
+ },
1369
+ {
1370
+ "epoch": 0.6015203260989314,
1371
+ "grad_norm": 3.1405887603759766,
1372
+ "learning_rate": 2.276812823220964e-06,
1373
+ "loss": 19.2294,
1374
+ "step": 1365
1375
+ },
1376
+ {
1377
+ "epoch": 0.6046050457199516,
1378
+ "grad_norm": 2.8604586124420166,
1379
+ "learning_rate": 2.048404520051722e-06,
1380
+ "loss": 19.2823,
1381
+ "step": 1372
1382
+ },
1383
+ {
1384
+ "epoch": 0.6076897653409716,
1385
+ "grad_norm": 3.2261486053466797,
1386
+ "learning_rate": 1.8318275555520237e-06,
1387
+ "loss": 18.288,
1388
+ "step": 1379
1389
+ },
1390
+ {
1391
+ "epoch": 0.6107744849619918,
1392
+ "grad_norm": 2.863901138305664,
1393
+ "learning_rate": 1.6271353668471655e-06,
1394
+ "loss": 19.3459,
1395
+ "step": 1386
1396
+ },
1397
+ {
1398
+ "epoch": 0.613859204583012,
1399
+ "grad_norm": 3.077561378479004,
1400
+ "learning_rate": 1.4343784586718311e-06,
1401
+ "loss": 19.0298,
1402
+ "step": 1393
1403
+ },
1404
+ {
1405
+ "epoch": 0.6169439242040322,
1406
+ "grad_norm": 2.8641955852508545,
1407
+ "learning_rate": 1.2536043909088191e-06,
1408
+ "loss": 19.392,
1409
+ "step": 1400
1410
+ },
1411
+ {
1412
+ "epoch": 0.6200286438250523,
1413
+ "grad_norm": 3.216136932373047,
1414
+ "learning_rate": 1.0848577668543802e-06,
1415
+ "loss": 19.494,
1416
+ "step": 1407
1417
+ },
1418
+ {
1419
+ "epoch": 0.6231133634460725,
1420
+ "grad_norm": 3.0624561309814453,
1421
+ "learning_rate": 9.281802222129765e-07,
1422
+ "loss": 19.6816,
1423
+ "step": 1414
1424
+ },
1425
+ {
1426
+ "epoch": 0.6261980830670927,
1427
+ "grad_norm": 2.73820424079895,
1428
+ "learning_rate": 7.836104148243484e-07,
1429
+ "loss": 19.5773,
1430
+ "step": 1421
1431
+ },
1432
+ {
1433
+ "epoch": 0.6292828026881128,
1434
+ "grad_norm": 3.053277015686035,
1435
+ "learning_rate": 6.511840151252169e-07,
1436
+ "loss": 19.6097,
1437
+ "step": 1428
1438
+ },
1439
+ {
1440
+ "epoch": 0.632367522309133,
1441
+ "grad_norm": 3.1816012859344482,
1442
+ "learning_rate": 5.309336973481683e-07,
1443
+ "loss": 19.8133,
1444
+ "step": 1435
1445
+ },
1446
+ {
1447
+ "epoch": 0.6354522419301531,
1448
+ "grad_norm": 2.8629932403564453,
1449
+ "learning_rate": 4.228891314597694e-07,
1450
+ "loss": 19.1801,
1451
+ "step": 1442
1452
+ },
1453
+ {
1454
+ "epoch": 0.6385369615511733,
1455
+ "grad_norm": 2.9186813831329346,
1456
+ "learning_rate": 3.2707697583995167e-07,
1457
+ "loss": 19.1621,
1458
+ "step": 1449
1459
+ },
1460
+ {
1461
+ "epoch": 0.6416216811721934,
1462
+ "grad_norm": 2.8842525482177734,
1463
+ "learning_rate": 2.4352087070443895e-07,
1464
+ "loss": 19.103,
1465
+ "step": 1456
1466
+ },
1467
+ {
1468
+ "epoch": 0.6447064007932136,
1469
+ "grad_norm": 3.0548243522644043,
1470
+ "learning_rate": 1.7224143227190236e-07,
1471
+ "loss": 18.9624,
1472
+ "step": 1463
1473
+ },
1474
+ {
1475
+ "epoch": 0.6477911204142338,
1476
+ "grad_norm": 3.0398287773132324,
1477
+ "learning_rate": 1.132562476771959e-07,
1478
+ "loss": 19.3204,
1479
+ "step": 1470
1480
+ },
1481
+ {
1482
+ "epoch": 0.6508758400352539,
1483
+ "grad_norm": 3.19580078125,
1484
+ "learning_rate": 6.657987063200533e-08,
1485
+ "loss": 20.1019,
1486
+ "step": 1477
1487
+ },
1488
+ {
1489
+ "epoch": 0.6539605596562741,
1490
+ "grad_norm": 2.927455186843872,
1491
+ "learning_rate": 3.2223817833931805e-08,
1492
+ "loss": 19.7744,
1493
+ "step": 1484
1494
+ },
1495
+ {
1496
+ "epoch": 0.6570452792772943,
1497
+ "grad_norm": 3.276757001876831,
1498
+ "learning_rate": 1.019656612492592e-08,
1499
+ "loss": 19.2601,
1500
+ "step": 1491
1501
+ },
1502
+ {
1503
+ "epoch": 0.6601299988983145,
1504
+ "grad_norm": 2.9033164978027344,
1505
+ "learning_rate": 5.035503997385949e-10,
1506
+ "loss": 19.2759,
1507
+ "step": 1498
1508
+ }
1509
+ ],
1510
+ "logging_steps": 7,
1511
+ "max_steps": 1500,
1512
+ "num_input_tokens_seen": 0,
1513
+ "num_train_epochs": 1,
1514
+ "save_steps": 500,
1515
+ "stateful_callbacks": {
1516
+ "TrainerControl": {
1517
+ "args": {
1518
+ "should_epoch_stop": false,
1519
+ "should_evaluate": false,
1520
+ "should_log": false,
1521
+ "should_save": true,
1522
+ "should_training_stop": true
1523
+ },
1524
+ "attributes": {}
1525
+ }
1526
+ },
1527
+ "total_flos": 8.41564354070446e+16,
1528
+ "train_batch_size": 2,
1529
+ "trial_name": null,
1530
+ "trial_params": null
1531
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb94623d4d22e506c6c6bc5f600b2f39d2e121ab770b094b9bf66db575c87cd4
3
+ size 6776
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff