ZacSM commited on
Commit
0cff9bd
·
verified ·
1 Parent(s): b21ebed

Initial push

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ 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
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: google/gemma-3-27b-it
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:google/gemma-3-27b-it
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ ---
12
+
13
+ # Model Card for Model ID
14
+
15
+ <!-- Provide a quick summary of what the model is/does. -->
16
+
17
+
18
+
19
+ ## Model Details
20
+
21
+ ### Model Description
22
+
23
+ <!-- Provide a longer summary of what this model is. -->
24
+
25
+
26
+
27
+ - **Developed by:** [More Information Needed]
28
+ - **Funded by [optional]:** [More Information Needed]
29
+ - **Shared by [optional]:** [More Information Needed]
30
+ - **Model type:** [More Information Needed]
31
+ - **Language(s) (NLP):** [More Information Needed]
32
+ - **License:** [More Information Needed]
33
+ - **Finetuned from model [optional]:** [More Information Needed]
34
+
35
+ ### Model Sources [optional]
36
+
37
+ <!-- Provide the basic links for the model. -->
38
+
39
+ - **Repository:** [More Information Needed]
40
+ - **Paper [optional]:** [More Information Needed]
41
+ - **Demo [optional]:** [More Information Needed]
42
+
43
+ ## Uses
44
+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
+
47
+ ### Direct Use
48
+
49
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
+
51
+ [More Information Needed]
52
+
53
+ ### Downstream Use [optional]
54
+
55
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
+
57
+ [More Information Needed]
58
+
59
+ ### Out-of-Scope Use
60
+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
+
63
+ [More Information Needed]
64
+
65
+ ## Bias, Risks, and Limitations
66
+
67
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
+
69
+ [More Information Needed]
70
+
71
+ ### Recommendations
72
+
73
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
+
75
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
+
77
+ ## How to Get Started with the Model
78
+
79
+ Use the code below to get started with the model.
80
+
81
+ [More Information Needed]
82
+
83
+ ## Training Details
84
+
85
+ ### Training Data
86
+
87
+ <!-- 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. -->
88
+
89
+ [More Information Needed]
90
+
91
+ ### Training Procedure
92
+
93
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
+
95
+ #### Preprocessing [optional]
96
+
97
+ [More Information Needed]
98
+
99
+
100
+ #### Training Hyperparameters
101
+
102
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
+
104
+ #### Speeds, Sizes, Times [optional]
105
+
106
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
+
108
+ [More Information Needed]
109
+
110
+ ## Evaluation
111
+
112
+ <!-- This section describes the evaluation protocols and provides the results. -->
113
+
114
+ ### Testing Data, Factors & Metrics
115
+
116
+ #### Testing Data
117
+
118
+ <!-- This should link to a Dataset Card if possible. -->
119
+
120
+ [More Information Needed]
121
+
122
+ #### Factors
123
+
124
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
+
126
+ [More Information Needed]
127
+
128
+ #### Metrics
129
+
130
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
+
132
+ [More Information Needed]
133
+
134
+ ### Results
135
+
136
+ [More Information Needed]
137
+
138
+ #### Summary
139
+
140
+
141
+
142
+ ## Model Examination [optional]
143
+
144
+ <!-- Relevant interpretability work for the model goes here -->
145
+
146
+ [More Information Needed]
147
+
148
+ ## Environmental Impact
149
+
150
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
+
152
+ 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).
153
+
154
+ - **Hardware Type:** [More Information Needed]
155
+ - **Hours used:** [More Information Needed]
156
+ - **Cloud Provider:** [More Information Needed]
157
+ - **Compute Region:** [More Information Needed]
158
+ - **Carbon Emitted:** [More Information Needed]
159
+
160
+ ## Technical Specifications [optional]
161
+
162
+ ### Model Architecture and Objective
163
+
164
+ [More Information Needed]
165
+
166
+ ### Compute Infrastructure
167
+
168
+ [More Information Needed]
169
+
170
+ #### Hardware
171
+
172
+ [More Information Needed]
173
+
174
+ #### Software
175
+
176
+ [More Information Needed]
177
+
178
+ ## Citation [optional]
179
+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
+
182
+ **BibTeX:**
183
+
184
+ [More Information Needed]
185
+
186
+ **APA:**
187
+
188
+ [More Information Needed]
189
+
190
+ ## Glossary [optional]
191
+
192
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
+
194
+ [More Information Needed]
195
+
196
+ ## More Information [optional]
197
+
198
+ [More Information Needed]
199
+
200
+ ## Model Card Authors [optional]
201
+
202
+ [More Information Needed]
203
+
204
+ ## Model Card Contact
205
+
206
+ [More Information Needed]
207
+ ### Framework versions
208
+
209
+ - PEFT 0.16.0
adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/gemma-3-27b-it",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 64,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "v_proj",
29
+ "down_proj",
30
+ "q_proj",
31
+ "k_proj",
32
+ "gate_proj",
33
+ "o_proj",
34
+ "up_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": true,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18317c552cffe9a894d798b1e71ede2922a6c27c453b31fd4f96041f3eb507d3
3
+ size 947997312
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<image_soft_token>": 262144
3
+ }
chat_template.jinja ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {{ bos_token }}
2
+ {%- if messages[0]['role'] == 'system' -%}
3
+ {%- if messages[0]['content'] is string -%}
4
+ {%- set first_user_prefix = messages[0]['content'] + '
5
+
6
+ ' -%}
7
+ {%- else -%}
8
+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
9
+
10
+ ' -%}
11
+ {%- endif -%}
12
+ {%- set loop_messages = messages[1:] -%}
13
+ {%- else -%}
14
+ {%- set first_user_prefix = "" -%}
15
+ {%- set loop_messages = messages -%}
16
+ {%- endif -%}
17
+ {%- for message in loop_messages -%}
18
+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
19
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
20
+ {%- endif -%}
21
+ {%- if (message['role'] == 'assistant') -%}
22
+ {%- set role = "model" -%}
23
+ {%- else -%}
24
+ {%- set role = message['role'] -%}
25
+ {%- endif -%}
26
+ {{ '<start_of_turn>' + role + '
27
+ ' + (first_user_prefix if loop.first else "") }}
28
+ {%- if message['content'] is string -%}
29
+ {{ message['content'] | trim }}
30
+ {%- elif message['content'] is iterable -%}
31
+ {%- for item in message['content'] -%}
32
+ {%- if item['type'] == 'image' -%}
33
+ {{ '<start_of_image>' }}
34
+ {%- elif item['type'] == 'text' -%}
35
+ {{ item['text'] | trim }}
36
+ {%- endif -%}
37
+ {%- endfor -%}
38
+ {%- else -%}
39
+ {{ raise_exception("Invalid content type") }}
40
+ {%- endif -%}
41
+ {{ '<end_of_turn>
42
+ ' }}
43
+ {%- endfor -%}
44
+ {%- if add_generation_prompt -%}
45
+ {{'<start_of_turn>model
46
+ '}}
47
+ {%- endif -%}
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b282c984f3db22f4843c756791722864d099f4149558f82a354ff4c5b229503e
3
+ size 1848092069
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12e15e837284f30841feeb4cb11a4ca47e6e0a0d43907e64044c865959176390
3
+ size 14581
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d7d5c86db204b7baa023d27bd42f71085a53466d8ebad7c38c664f063de30ad
3
+ size 1465
special_tokens_map.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "boi_token": "<start_of_image>",
3
+ "bos_token": {
4
+ "content": "<bos>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "eoi_token": "<end_of_image>",
11
+ "eos_token": "<eos>",
12
+ "image_token": "<image_soft_token>",
13
+ "pad_token": {
14
+ "content": "<pad>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "unk_token": {
21
+ "content": "<unk>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ }
27
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
3
+ size 33384568
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
3
+ size 4689074
tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
trainer_state.json ADDED
@@ -0,0 +1,232 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 88,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.045714285714285714,
14
+ "grad_norm": 14.417235374450684,
15
+ "learning_rate": 9.65909090909091e-06,
16
+ "loss": 12.365,
17
+ "mean_token_accuracy": 0.7070006560534239,
18
+ "num_tokens": 262144.0,
19
+ "step": 4
20
+ },
21
+ {
22
+ "epoch": 0.09142857142857143,
23
+ "grad_norm": 8.5507230758667,
24
+ "learning_rate": 9.204545454545455e-06,
25
+ "loss": 10.3836,
26
+ "mean_token_accuracy": 0.7233078088611364,
27
+ "num_tokens": 524288.0,
28
+ "step": 8
29
+ },
30
+ {
31
+ "epoch": 0.13714285714285715,
32
+ "grad_norm": 5.2309746742248535,
33
+ "learning_rate": 8.750000000000001e-06,
34
+ "loss": 9.9095,
35
+ "mean_token_accuracy": 0.7237512413412333,
36
+ "num_tokens": 786432.0,
37
+ "step": 12
38
+ },
39
+ {
40
+ "epoch": 0.18285714285714286,
41
+ "grad_norm": 4.363022327423096,
42
+ "learning_rate": 8.295454545454547e-06,
43
+ "loss": 9.3507,
44
+ "mean_token_accuracy": 0.7317077834159136,
45
+ "num_tokens": 1048576.0,
46
+ "step": 16
47
+ },
48
+ {
49
+ "epoch": 0.22857142857142856,
50
+ "grad_norm": 4.8386616706848145,
51
+ "learning_rate": 7.840909090909091e-06,
52
+ "loss": 8.6437,
53
+ "mean_token_accuracy": 0.7404739372432232,
54
+ "num_tokens": 1310720.0,
55
+ "step": 20
56
+ },
57
+ {
58
+ "epoch": 0.2742857142857143,
59
+ "grad_norm": 4.859585285186768,
60
+ "learning_rate": 7.386363636363637e-06,
61
+ "loss": 7.8244,
62
+ "mean_token_accuracy": 0.7579365894198418,
63
+ "num_tokens": 1572864.0,
64
+ "step": 24
65
+ },
66
+ {
67
+ "epoch": 0.32,
68
+ "grad_norm": 5.170243740081787,
69
+ "learning_rate": 6.931818181818183e-06,
70
+ "loss": 7.1408,
71
+ "mean_token_accuracy": 0.7731606159359217,
72
+ "num_tokens": 1835008.0,
73
+ "step": 28
74
+ },
75
+ {
76
+ "epoch": 0.3657142857142857,
77
+ "grad_norm": 4.473582744598389,
78
+ "learning_rate": 6.477272727272727e-06,
79
+ "loss": 7.0147,
80
+ "mean_token_accuracy": 0.7715074121952057,
81
+ "num_tokens": 2097152.0,
82
+ "step": 32
83
+ },
84
+ {
85
+ "epoch": 0.4114285714285714,
86
+ "grad_norm": 4.883391380310059,
87
+ "learning_rate": 6.022727272727273e-06,
88
+ "loss": 6.2369,
89
+ "mean_token_accuracy": 0.7961227279156446,
90
+ "num_tokens": 2359296.0,
91
+ "step": 36
92
+ },
93
+ {
94
+ "epoch": 0.45714285714285713,
95
+ "grad_norm": 4.0982818603515625,
96
+ "learning_rate": 5.568181818181818e-06,
97
+ "loss": 5.6263,
98
+ "mean_token_accuracy": 0.8100197333842516,
99
+ "num_tokens": 2621440.0,
100
+ "step": 40
101
+ },
102
+ {
103
+ "epoch": 0.5028571428571429,
104
+ "grad_norm": 5.6680827140808105,
105
+ "learning_rate": 5.113636363636364e-06,
106
+ "loss": 5.526,
107
+ "mean_token_accuracy": 0.8139757830649614,
108
+ "num_tokens": 2883584.0,
109
+ "step": 44
110
+ },
111
+ {
112
+ "epoch": 0.5485714285714286,
113
+ "grad_norm": 4.965151309967041,
114
+ "learning_rate": 4.6590909090909095e-06,
115
+ "loss": 4.5715,
116
+ "mean_token_accuracy": 0.8425043243914843,
117
+ "num_tokens": 3145728.0,
118
+ "step": 48
119
+ },
120
+ {
121
+ "epoch": 0.5942857142857143,
122
+ "grad_norm": 4.398440837860107,
123
+ "learning_rate": 4.204545454545455e-06,
124
+ "loss": 4.5646,
125
+ "mean_token_accuracy": 0.8441276364028454,
126
+ "num_tokens": 3407872.0,
127
+ "step": 52
128
+ },
129
+ {
130
+ "epoch": 0.64,
131
+ "grad_norm": 4.850263595581055,
132
+ "learning_rate": 3.7500000000000005e-06,
133
+ "loss": 4.2065,
134
+ "mean_token_accuracy": 0.8565848618745804,
135
+ "num_tokens": 3670016.0,
136
+ "step": 56
137
+ },
138
+ {
139
+ "epoch": 0.6857142857142857,
140
+ "grad_norm": 5.376770973205566,
141
+ "learning_rate": 3.2954545454545456e-06,
142
+ "loss": 3.8085,
143
+ "mean_token_accuracy": 0.8706343658268452,
144
+ "num_tokens": 3932160.0,
145
+ "step": 60
146
+ },
147
+ {
148
+ "epoch": 0.7314285714285714,
149
+ "grad_norm": 4.992929458618164,
150
+ "learning_rate": 2.8409090909090916e-06,
151
+ "loss": 3.5296,
152
+ "mean_token_accuracy": 0.8793725371360779,
153
+ "num_tokens": 4194304.0,
154
+ "step": 64
155
+ },
156
+ {
157
+ "epoch": 0.7771428571428571,
158
+ "grad_norm": 5.099910736083984,
159
+ "learning_rate": 2.3863636363636367e-06,
160
+ "loss": 3.158,
161
+ "mean_token_accuracy": 0.8912728782743216,
162
+ "num_tokens": 4456448.0,
163
+ "step": 68
164
+ },
165
+ {
166
+ "epoch": 0.8228571428571428,
167
+ "grad_norm": 4.732657432556152,
168
+ "learning_rate": 1.931818181818182e-06,
169
+ "loss": 3.4912,
170
+ "mean_token_accuracy": 0.8802231661975384,
171
+ "num_tokens": 4718592.0,
172
+ "step": 72
173
+ },
174
+ {
175
+ "epoch": 0.8685714285714285,
176
+ "grad_norm": 4.845268726348877,
177
+ "learning_rate": 1.4772727272727275e-06,
178
+ "loss": 3.0872,
179
+ "mean_token_accuracy": 0.8950978331267834,
180
+ "num_tokens": 4980736.0,
181
+ "step": 76
182
+ },
183
+ {
184
+ "epoch": 0.9142857142857143,
185
+ "grad_norm": 4.847484111785889,
186
+ "learning_rate": 1.0227272727272729e-06,
187
+ "loss": 2.8941,
188
+ "mean_token_accuracy": 0.8987292610108852,
189
+ "num_tokens": 5242880.0,
190
+ "step": 80
191
+ },
192
+ {
193
+ "epoch": 0.96,
194
+ "grad_norm": 4.448861122131348,
195
+ "learning_rate": 5.681818181818182e-07,
196
+ "loss": 3.0148,
197
+ "mean_token_accuracy": 0.8966547567397356,
198
+ "num_tokens": 5505024.0,
199
+ "step": 84
200
+ },
201
+ {
202
+ "epoch": 1.0,
203
+ "grad_norm": 3.111453056335449,
204
+ "learning_rate": 1.1363636363636364e-07,
205
+ "loss": 2.7214,
206
+ "mean_token_accuracy": 0.8931009152105877,
207
+ "num_tokens": 5730304.0,
208
+ "step": 88
209
+ }
210
+ ],
211
+ "logging_steps": 4,
212
+ "max_steps": 88,
213
+ "num_input_tokens_seen": 0,
214
+ "num_train_epochs": 1,
215
+ "save_steps": 40,
216
+ "stateful_callbacks": {
217
+ "TrainerControl": {
218
+ "args": {
219
+ "should_epoch_stop": false,
220
+ "should_evaluate": false,
221
+ "should_log": false,
222
+ "should_save": true,
223
+ "should_training_stop": true
224
+ },
225
+ "attributes": {}
226
+ }
227
+ },
228
+ "total_flos": 9.026946939511112e+17,
229
+ "train_batch_size": 2,
230
+ "trial_name": null,
231
+ "trial_params": null
232
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d39a959b8d797ed916eb031e4f516556ef915d2b1875fc7764d128acbe973700
3
+ size 6161