wangyichen25 commited on
Commit
6785c74
·
verified ·
1 Parent(s): 6d8596a

Training in progress, step 200, checkpoint

Browse files
.gitattributes CHANGED
@@ -43,3 +43,4 @@ checkpoint-120/tokenizer.json filter=lfs diff=lfs merge=lfs -text
43
  checkpoint-140/tokenizer.json filter=lfs diff=lfs merge=lfs -text
44
  checkpoint-160/tokenizer.json filter=lfs diff=lfs merge=lfs -text
45
  checkpoint-180/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
43
  checkpoint-140/tokenizer.json filter=lfs diff=lfs merge=lfs -text
44
  checkpoint-160/tokenizer.json filter=lfs diff=lfs merge=lfs -text
45
  checkpoint-180/tokenizer.json filter=lfs diff=lfs merge=lfs -text
46
+ checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-200/README.md ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: google/medgemma-4b-it
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:google/medgemma-4b-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
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/medgemma-4b-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": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": [
22
+ "lm_head",
23
+ "embed_tokens"
24
+ ],
25
+ "peft_type": "LORA",
26
+ "qalora_group_size": 16,
27
+ "r": 16,
28
+ "rank_pattern": {},
29
+ "revision": null,
30
+ "target_modules": [
31
+ "fc1",
32
+ "up_proj",
33
+ "out_proj",
34
+ "v_proj",
35
+ "k_proj",
36
+ "fc2",
37
+ "o_proj",
38
+ "gate_proj",
39
+ "q_proj",
40
+ "down_proj"
41
+ ],
42
+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
44
+ "use_dora": false,
45
+ "use_qalora": false,
46
+ "use_rslora": false
47
+ }
checkpoint-200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a8b3ce2a5874bba10ff4c5b6f91ea5fd92e062b5d3606b48e2a3af1c6a7bb9c
3
+ size 2839126480
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<image_soft_token>": 262144
3
+ }
checkpoint-200/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 -%}
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a3d89c810dc492716fbb229e79871c5d22dddbe14076858718df3f821652a7e
3
+ size 5678690152
checkpoint-200/preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": null,
3
+ "do_normalize": true,
4
+ "do_pan_and_scan": null,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "image_mean": [
8
+ 0.5,
9
+ 0.5,
10
+ 0.5
11
+ ],
12
+ "image_processor_type": "Gemma3ImageProcessor",
13
+ "image_seq_length": 256,
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "pan_and_scan_max_num_crops": null,
20
+ "pan_and_scan_min_crop_size": null,
21
+ "pan_and_scan_min_ratio_to_activate": null,
22
+ "processor_class": "Gemma3Processor",
23
+ "resample": 2,
24
+ "rescale_factor": 0.00392156862745098,
25
+ "size": {
26
+ "height": 896,
27
+ "width": 896
28
+ }
29
+ }
checkpoint-200/processor_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "image_seq_length": 256,
3
+ "processor_class": "Gemma3Processor"
4
+ }
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0388007945f3e734d32545b5f44ce4b7f49ca7e40db0df9a2520ef3bb57df646
3
+ size 14244
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:634885e690eb5069411239e084e0ea4bd1bdd08a174adeb32c843b72d498c89a
3
+ size 1064
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": {
12
+ "content": "<eos>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false
17
+ },
18
+ "image_token": "<image_soft_token>",
19
+ "pad_token": {
20
+ "content": "<pad>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "unk_token": {
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ }
33
+ }
checkpoint-200/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
3
+ size 33384723
checkpoint-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
3
+ size 4689074
checkpoint-200/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,414 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9615384615384616,
6
+ "eval_steps": 10,
7
+ "global_step": 200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.04807692307692308,
14
+ "grad_norm": 19.535831451416016,
15
+ "learning_rate": 0.00019800995024875625,
16
+ "loss": 15.9815,
17
+ "mean_token_accuracy": 0.6259999990463256,
18
+ "num_tokens": 49120.0,
19
+ "step": 10
20
+ },
21
+ {
22
+ "epoch": 0.04807692307692308,
23
+ "eval_loss": 1.2629932165145874,
24
+ "eval_mean_token_accuracy": 0.8946153659086961,
25
+ "eval_num_tokens": 49120.0,
26
+ "eval_runtime": 17.4778,
27
+ "eval_samples_per_second": 2.861,
28
+ "eval_steps_per_second": 0.744,
29
+ "step": 10
30
+ },
31
+ {
32
+ "epoch": 0.09615384615384616,
33
+ "grad_norm": 7.8091559410095215,
34
+ "learning_rate": 0.00018805970149253734,
35
+ "loss": 2.5529,
36
+ "mean_token_accuracy": 0.9347499996423722,
37
+ "num_tokens": 98240.0,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.09615384615384616,
42
+ "eval_loss": 0.14167079329490662,
43
+ "eval_mean_token_accuracy": 0.9773077139487634,
44
+ "eval_num_tokens": 98240.0,
45
+ "eval_runtime": 17.4221,
46
+ "eval_samples_per_second": 2.87,
47
+ "eval_steps_per_second": 0.746,
48
+ "step": 20
49
+ },
50
+ {
51
+ "epoch": 0.14423076923076922,
52
+ "grad_norm": 3.069196939468384,
53
+ "learning_rate": 0.00017810945273631843,
54
+ "loss": 0.3788,
55
+ "mean_token_accuracy": 0.9778750196099282,
56
+ "num_tokens": 147360.0,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 0.14423076923076922,
61
+ "eval_loss": 0.03845745697617531,
62
+ "eval_mean_token_accuracy": 0.9788461740200336,
63
+ "eval_num_tokens": 147360.0,
64
+ "eval_runtime": 17.5754,
65
+ "eval_samples_per_second": 2.845,
66
+ "eval_steps_per_second": 0.74,
67
+ "step": 30
68
+ },
69
+ {
70
+ "epoch": 0.19230769230769232,
71
+ "grad_norm": 6.14934778213501,
72
+ "learning_rate": 0.0001681592039800995,
73
+ "loss": 0.1621,
74
+ "mean_token_accuracy": 0.9760000124573708,
75
+ "num_tokens": 196480.0,
76
+ "step": 40
77
+ },
78
+ {
79
+ "epoch": 0.19230769230769232,
80
+ "eval_loss": 0.03434291481971741,
81
+ "eval_mean_token_accuracy": 0.9788461740200336,
82
+ "eval_num_tokens": 196480.0,
83
+ "eval_runtime": 17.4843,
84
+ "eval_samples_per_second": 2.86,
85
+ "eval_steps_per_second": 0.744,
86
+ "step": 40
87
+ },
88
+ {
89
+ "epoch": 0.2403846153846154,
90
+ "grad_norm": 7.388150691986084,
91
+ "learning_rate": 0.00015820895522388059,
92
+ "loss": 0.1563,
93
+ "mean_token_accuracy": 0.9780000209808349,
94
+ "num_tokens": 245600.0,
95
+ "step": 50
96
+ },
97
+ {
98
+ "epoch": 0.2403846153846154,
99
+ "eval_loss": 0.05149823799729347,
100
+ "eval_mean_token_accuracy": 0.9788461740200336,
101
+ "eval_num_tokens": 245600.0,
102
+ "eval_runtime": 17.5208,
103
+ "eval_samples_per_second": 2.854,
104
+ "eval_steps_per_second": 0.742,
105
+ "step": 50
106
+ },
107
+ {
108
+ "epoch": 0.28846153846153844,
109
+ "grad_norm": 5.478137969970703,
110
+ "learning_rate": 0.00014825870646766168,
111
+ "loss": 0.177,
112
+ "mean_token_accuracy": 0.9782500207424164,
113
+ "num_tokens": 294720.0,
114
+ "step": 60
115
+ },
116
+ {
117
+ "epoch": 0.28846153846153844,
118
+ "eval_loss": 0.03306853771209717,
119
+ "eval_mean_token_accuracy": 0.9788461740200336,
120
+ "eval_num_tokens": 294720.0,
121
+ "eval_runtime": 17.4723,
122
+ "eval_samples_per_second": 2.862,
123
+ "eval_steps_per_second": 0.744,
124
+ "step": 60
125
+ },
126
+ {
127
+ "epoch": 0.33653846153846156,
128
+ "grad_norm": 4.636706352233887,
129
+ "learning_rate": 0.0001383084577114428,
130
+ "loss": 0.1614,
131
+ "mean_token_accuracy": 0.9776250213384629,
132
+ "num_tokens": 343840.0,
133
+ "step": 70
134
+ },
135
+ {
136
+ "epoch": 0.33653846153846156,
137
+ "eval_loss": 0.041035111993551254,
138
+ "eval_mean_token_accuracy": 0.9788461740200336,
139
+ "eval_num_tokens": 343840.0,
140
+ "eval_runtime": 17.567,
141
+ "eval_samples_per_second": 2.846,
142
+ "eval_steps_per_second": 0.74,
143
+ "step": 70
144
+ },
145
+ {
146
+ "epoch": 0.38461538461538464,
147
+ "grad_norm": 1.8013979196548462,
148
+ "learning_rate": 0.00012835820895522389,
149
+ "loss": 0.1449,
150
+ "mean_token_accuracy": 0.9785000205039978,
151
+ "num_tokens": 392960.0,
152
+ "step": 80
153
+ },
154
+ {
155
+ "epoch": 0.38461538461538464,
156
+ "eval_loss": 0.033909473568201065,
157
+ "eval_mean_token_accuracy": 0.9788461740200336,
158
+ "eval_num_tokens": 392960.0,
159
+ "eval_runtime": 17.4599,
160
+ "eval_samples_per_second": 2.864,
161
+ "eval_steps_per_second": 0.745,
162
+ "step": 80
163
+ },
164
+ {
165
+ "epoch": 0.4326923076923077,
166
+ "grad_norm": 0.7925957441329956,
167
+ "learning_rate": 0.00011840796019900498,
168
+ "loss": 0.1343,
169
+ "mean_token_accuracy": 0.979250019788742,
170
+ "num_tokens": 442080.0,
171
+ "step": 90
172
+ },
173
+ {
174
+ "epoch": 0.4326923076923077,
175
+ "eval_loss": 0.03350621089339256,
176
+ "eval_mean_token_accuracy": 0.9788461740200336,
177
+ "eval_num_tokens": 442080.0,
178
+ "eval_runtime": 17.5312,
179
+ "eval_samples_per_second": 2.852,
180
+ "eval_steps_per_second": 0.742,
181
+ "step": 90
182
+ },
183
+ {
184
+ "epoch": 0.4807692307692308,
185
+ "grad_norm": 3.3666160106658936,
186
+ "learning_rate": 0.00010845771144278607,
187
+ "loss": 0.1484,
188
+ "mean_token_accuracy": 0.9778750211000442,
189
+ "num_tokens": 491200.0,
190
+ "step": 100
191
+ },
192
+ {
193
+ "epoch": 0.4807692307692308,
194
+ "eval_loss": 0.03422728180885315,
195
+ "eval_mean_token_accuracy": 0.9788461740200336,
196
+ "eval_num_tokens": 491200.0,
197
+ "eval_runtime": 17.4416,
198
+ "eval_samples_per_second": 2.867,
199
+ "eval_steps_per_second": 0.745,
200
+ "step": 100
201
+ },
202
+ {
203
+ "epoch": 0.5288461538461539,
204
+ "grad_norm": 1.1528574228286743,
205
+ "learning_rate": 9.850746268656717e-05,
206
+ "loss": 0.1372,
207
+ "mean_token_accuracy": 0.9783750206232071,
208
+ "num_tokens": 540320.0,
209
+ "step": 110
210
+ },
211
+ {
212
+ "epoch": 0.5288461538461539,
213
+ "eval_loss": 0.03267410025000572,
214
+ "eval_mean_token_accuracy": 0.9788461740200336,
215
+ "eval_num_tokens": 540320.0,
216
+ "eval_runtime": 17.6379,
217
+ "eval_samples_per_second": 2.835,
218
+ "eval_steps_per_second": 0.737,
219
+ "step": 110
220
+ },
221
+ {
222
+ "epoch": 0.5769230769230769,
223
+ "grad_norm": 1.7770888805389404,
224
+ "learning_rate": 8.855721393034826e-05,
225
+ "loss": 0.1499,
226
+ "mean_token_accuracy": 0.9773750215768814,
227
+ "num_tokens": 589440.0,
228
+ "step": 120
229
+ },
230
+ {
231
+ "epoch": 0.5769230769230769,
232
+ "eval_loss": 0.03415742516517639,
233
+ "eval_mean_token_accuracy": 0.9788461740200336,
234
+ "eval_num_tokens": 589440.0,
235
+ "eval_runtime": 17.4268,
236
+ "eval_samples_per_second": 2.869,
237
+ "eval_steps_per_second": 0.746,
238
+ "step": 120
239
+ },
240
+ {
241
+ "epoch": 0.625,
242
+ "grad_norm": 0.9424811601638794,
243
+ "learning_rate": 7.860696517412935e-05,
244
+ "loss": 0.1354,
245
+ "mean_token_accuracy": 0.9777500197291374,
246
+ "num_tokens": 638560.0,
247
+ "step": 130
248
+ },
249
+ {
250
+ "epoch": 0.625,
251
+ "eval_loss": 0.03265358507633209,
252
+ "eval_mean_token_accuracy": 0.9788461740200336,
253
+ "eval_num_tokens": 638560.0,
254
+ "eval_runtime": 17.6065,
255
+ "eval_samples_per_second": 2.84,
256
+ "eval_steps_per_second": 0.738,
257
+ "step": 130
258
+ },
259
+ {
260
+ "epoch": 0.6730769230769231,
261
+ "grad_norm": 2.114447593688965,
262
+ "learning_rate": 6.865671641791044e-05,
263
+ "loss": 0.1343,
264
+ "mean_token_accuracy": 0.97887502014637,
265
+ "num_tokens": 687680.0,
266
+ "step": 140
267
+ },
268
+ {
269
+ "epoch": 0.6730769230769231,
270
+ "eval_loss": 0.033645644783973694,
271
+ "eval_mean_token_accuracy": 0.9788461740200336,
272
+ "eval_num_tokens": 687680.0,
273
+ "eval_runtime": 17.4491,
274
+ "eval_samples_per_second": 2.865,
275
+ "eval_steps_per_second": 0.745,
276
+ "step": 140
277
+ },
278
+ {
279
+ "epoch": 0.7211538461538461,
280
+ "grad_norm": 1.5852668285369873,
281
+ "learning_rate": 5.870646766169154e-05,
282
+ "loss": 0.142,
283
+ "mean_token_accuracy": 0.9767500206828117,
284
+ "num_tokens": 736800.0,
285
+ "step": 150
286
+ },
287
+ {
288
+ "epoch": 0.7211538461538461,
289
+ "eval_loss": 0.03248896449804306,
290
+ "eval_mean_token_accuracy": 0.9788461740200336,
291
+ "eval_num_tokens": 736800.0,
292
+ "eval_runtime": 17.6031,
293
+ "eval_samples_per_second": 2.84,
294
+ "eval_steps_per_second": 0.739,
295
+ "step": 150
296
+ },
297
+ {
298
+ "epoch": 0.7692307692307693,
299
+ "grad_norm": 0.6951805949211121,
300
+ "learning_rate": 4.875621890547264e-05,
301
+ "loss": 0.1486,
302
+ "mean_token_accuracy": 0.9771250188350677,
303
+ "num_tokens": 785920.0,
304
+ "step": 160
305
+ },
306
+ {
307
+ "epoch": 0.7692307692307693,
308
+ "eval_loss": 0.033385761082172394,
309
+ "eval_mean_token_accuracy": 0.9788461740200336,
310
+ "eval_num_tokens": 785920.0,
311
+ "eval_runtime": 17.4166,
312
+ "eval_samples_per_second": 2.871,
313
+ "eval_steps_per_second": 0.746,
314
+ "step": 160
315
+ },
316
+ {
317
+ "epoch": 0.8173076923076923,
318
+ "grad_norm": 0.43215373158454895,
319
+ "learning_rate": 3.8805970149253736e-05,
320
+ "loss": 0.1278,
321
+ "mean_token_accuracy": 0.9788750171661377,
322
+ "num_tokens": 835040.0,
323
+ "step": 170
324
+ },
325
+ {
326
+ "epoch": 0.8173076923076923,
327
+ "eval_loss": 0.032722774893045425,
328
+ "eval_mean_token_accuracy": 0.9788461740200336,
329
+ "eval_num_tokens": 835040.0,
330
+ "eval_runtime": 17.5568,
331
+ "eval_samples_per_second": 2.848,
332
+ "eval_steps_per_second": 0.74,
333
+ "step": 170
334
+ },
335
+ {
336
+ "epoch": 0.8653846153846154,
337
+ "grad_norm": 0.8934823870658875,
338
+ "learning_rate": 2.885572139303483e-05,
339
+ "loss": 0.137,
340
+ "mean_token_accuracy": 0.9796250179409981,
341
+ "num_tokens": 884160.0,
342
+ "step": 180
343
+ },
344
+ {
345
+ "epoch": 0.8653846153846154,
346
+ "eval_loss": 0.03241568058729172,
347
+ "eval_mean_token_accuracy": 0.9788461740200336,
348
+ "eval_num_tokens": 884160.0,
349
+ "eval_runtime": 17.4308,
350
+ "eval_samples_per_second": 2.868,
351
+ "eval_steps_per_second": 0.746,
352
+ "step": 180
353
+ },
354
+ {
355
+ "epoch": 0.9134615384615384,
356
+ "grad_norm": 0.7338240146636963,
357
+ "learning_rate": 1.890547263681592e-05,
358
+ "loss": 0.1268,
359
+ "mean_token_accuracy": 0.9800000175833702,
360
+ "num_tokens": 933280.0,
361
+ "step": 190
362
+ },
363
+ {
364
+ "epoch": 0.9134615384615384,
365
+ "eval_loss": 0.03231397643685341,
366
+ "eval_mean_token_accuracy": 0.9788461740200336,
367
+ "eval_num_tokens": 933280.0,
368
+ "eval_runtime": 17.5989,
369
+ "eval_samples_per_second": 2.841,
370
+ "eval_steps_per_second": 0.739,
371
+ "step": 190
372
+ },
373
+ {
374
+ "epoch": 0.9615384615384616,
375
+ "grad_norm": 0.2547163665294647,
376
+ "learning_rate": 8.955223880597016e-06,
377
+ "loss": 0.1333,
378
+ "mean_token_accuracy": 0.9778750196099282,
379
+ "num_tokens": 982400.0,
380
+ "step": 200
381
+ },
382
+ {
383
+ "epoch": 0.9615384615384616,
384
+ "eval_loss": 0.03236151114106178,
385
+ "eval_mean_token_accuracy": 0.9788461740200336,
386
+ "eval_num_tokens": 982400.0,
387
+ "eval_runtime": 17.4212,
388
+ "eval_samples_per_second": 2.87,
389
+ "eval_steps_per_second": 0.746,
390
+ "step": 200
391
+ }
392
+ ],
393
+ "logging_steps": 10,
394
+ "max_steps": 208,
395
+ "num_input_tokens_seen": 0,
396
+ "num_train_epochs": 1,
397
+ "save_steps": 20,
398
+ "stateful_callbacks": {
399
+ "TrainerControl": {
400
+ "args": {
401
+ "should_epoch_stop": false,
402
+ "should_evaluate": false,
403
+ "should_log": false,
404
+ "should_save": true,
405
+ "should_training_stop": false
406
+ },
407
+ "attributes": {}
408
+ }
409
+ },
410
+ "total_flos": 2.55454965562368e+16,
411
+ "train_batch_size": 4,
412
+ "trial_name": null,
413
+ "trial_params": null
414
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09a9baff00283695ce70ca75d7d996c90cc5734afa7d9ed3f9a6113fde47b709
3
+ size 5880