jinghao57 commited on
Commit
e4155f1
·
verified ·
1 Parent(s): b5f123a

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +4 -0
  2. checkpoint-2500/README.md +209 -0
  3. checkpoint-2500/adapter_config.json +48 -0
  4. checkpoint-2500/adapter_model.safetensors +3 -0
  5. checkpoint-2500/added_tokens.json +24 -0
  6. checkpoint-2500/chat_template.jinja +54 -0
  7. checkpoint-2500/merges.txt +0 -0
  8. checkpoint-2500/optimizer.pt +3 -0
  9. checkpoint-2500/rng_state.pth +3 -0
  10. checkpoint-2500/scheduler.pt +3 -0
  11. checkpoint-2500/special_tokens_map.json +31 -0
  12. checkpoint-2500/tokenizer.json +3 -0
  13. checkpoint-2500/tokenizer_config.json +207 -0
  14. checkpoint-2500/trainer_state.json +1824 -0
  15. checkpoint-2500/training_args.bin +3 -0
  16. checkpoint-2500/vocab.json +0 -0
  17. checkpoint-3000/README.md +209 -0
  18. checkpoint-3000/adapter_config.json +48 -0
  19. checkpoint-3000/adapter_model.safetensors +3 -0
  20. checkpoint-3000/added_tokens.json +24 -0
  21. checkpoint-3000/chat_template.jinja +54 -0
  22. checkpoint-3000/merges.txt +0 -0
  23. checkpoint-3000/optimizer.pt +3 -0
  24. checkpoint-3000/rng_state.pth +3 -0
  25. checkpoint-3000/scheduler.pt +3 -0
  26. checkpoint-3000/special_tokens_map.json +31 -0
  27. checkpoint-3000/tokenizer.json +3 -0
  28. checkpoint-3000/tokenizer_config.json +207 -0
  29. checkpoint-3000/trainer_state.json +2182 -0
  30. checkpoint-3000/training_args.bin +3 -0
  31. checkpoint-3000/vocab.json +0 -0
  32. checkpoint-3116/README.md +209 -0
  33. checkpoint-3116/adapter_config.json +48 -0
  34. checkpoint-3116/adapter_model.safetensors +3 -0
  35. checkpoint-3116/added_tokens.json +24 -0
  36. checkpoint-3116/chat_template.jinja +54 -0
  37. checkpoint-3116/merges.txt +0 -0
  38. checkpoint-3116/optimizer.pt +3 -0
  39. checkpoint-3116/rng_state.pth +3 -0
  40. checkpoint-3116/scheduler.pt +3 -0
  41. checkpoint-3116/special_tokens_map.json +31 -0
  42. checkpoint-3116/tokenizer.json +3 -0
  43. checkpoint-3116/tokenizer_config.json +207 -0
  44. checkpoint-3116/trainer_state.json +2259 -0
  45. checkpoint-3116/training_args.bin +3 -0
  46. checkpoint-3116/vocab.json +0 -0
  47. final-adapter/README.md +209 -0
  48. final-adapter/adapter_config.json +48 -0
  49. final-adapter/adapter_model.safetensors +3 -0
  50. final-adapter/added_tokens.json +24 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ checkpoint-2500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ checkpoint-3116/tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
+ final-adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-2500/README.md ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-7B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
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 0.19.1
checkpoint-2500/adapter_config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 128,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "qalora_group_size": 16,
29
+ "r": 64,
30
+ "rank_pattern": {},
31
+ "revision": null,
32
+ "target_modules": [
33
+ "up_proj",
34
+ "k_proj",
35
+ "o_proj",
36
+ "v_proj",
37
+ "gate_proj",
38
+ "down_proj",
39
+ "q_proj"
40
+ ],
41
+ "target_parameters": null,
42
+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
44
+ "use_bdlora": null,
45
+ "use_dora": false,
46
+ "use_qalora": false,
47
+ "use_rslora": false
48
+ }
checkpoint-2500/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:949c1d6edc1607a91eef4b7f27590a11dda5846556d363f2417aa79a2321435b
3
+ size 645975704
checkpoint-2500/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-2500/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoint-2500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03506de5040451c4109e8750d651f3f8e3d6efcd2a0199660dfb943ffa940a5e
3
+ size 1292176234
checkpoint-2500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70ef42781c9db9bf4ed690495b7f5fa2abebe765ea384e6fcd4377affbe1199d
3
+ size 14244
checkpoint-2500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f0a8594ada369c1380e2dc14e138837016aa89c29e5f6621f284d2ed284c72c
3
+ size 1064
checkpoint-2500/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-2500/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83396048d512ec1f3178af0d7c1f79a226bba041822614b0e26a4fd2d4b55bf7
3
+ size 11421995
checkpoint-2500/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 32768,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
checkpoint-2500/trainer_state.json ADDED
@@ -0,0 +1,1824 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 2500,
3
+ "best_metric": 0.04088287055492401,
4
+ "best_model_checkpoint": "./checkpoints/checkpoint-2500",
5
+ "epoch": 1.6046940822467404,
6
+ "eval_steps": 500,
7
+ "global_step": 2500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0064192577733199595,
14
+ "grad_norm": 0.734896719455719,
15
+ "learning_rate": 1.9148936170212766e-05,
16
+ "loss": 1.2808,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.012838515546639919,
21
+ "grad_norm": 0.5790244340896606,
22
+ "learning_rate": 4.0425531914893614e-05,
23
+ "loss": 1.065,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01925777331995988,
28
+ "grad_norm": 0.20778240263462067,
29
+ "learning_rate": 6.170212765957447e-05,
30
+ "loss": 0.6486,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.025677031093279838,
35
+ "grad_norm": 0.17519450187683105,
36
+ "learning_rate": 8.297872340425533e-05,
37
+ "loss": 0.559,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.0320962888665998,
42
+ "grad_norm": 0.2367718517780304,
43
+ "learning_rate": 0.00010425531914893618,
44
+ "loss": 0.4906,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.03851554663991976,
49
+ "grad_norm": 0.24615059792995453,
50
+ "learning_rate": 0.00012553191489361702,
51
+ "loss": 0.4413,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.04493480441323972,
56
+ "grad_norm": 0.22158223390579224,
57
+ "learning_rate": 0.00014680851063829788,
58
+ "loss": 0.386,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.051354062186559676,
63
+ "grad_norm": 0.18299002945423126,
64
+ "learning_rate": 0.00016808510638297873,
65
+ "loss": 0.37,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.05777331995987964,
70
+ "grad_norm": 0.483330100774765,
71
+ "learning_rate": 0.00018936170212765957,
72
+ "loss": 0.408,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.0641925777331996,
77
+ "grad_norm": 0.36728036403656006,
78
+ "learning_rate": 0.00019999864911039267,
79
+ "loss": 0.3986,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.07061183550651956,
84
+ "grad_norm": 0.23549625277519226,
85
+ "learning_rate": 0.00019998784221252132,
86
+ "loss": 0.3367,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.07703109327983952,
91
+ "grad_norm": 0.2653771936893463,
92
+ "learning_rate": 0.0001999662295846848,
93
+ "loss": 0.3457,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.08345035105315948,
98
+ "grad_norm": 0.21738414466381073,
99
+ "learning_rate": 0.0001999338135625693,
100
+ "loss": 0.3075,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.08986960882647944,
105
+ "grad_norm": 0.2068450152873993,
106
+ "learning_rate": 0.00019989059764938857,
107
+ "loss": 0.3423,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.09628886659979939,
112
+ "grad_norm": 0.24901063740253448,
113
+ "learning_rate": 0.00019983658651550522,
114
+ "loss": 0.2767,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.10270812437311935,
119
+ "grad_norm": 0.34664201736450195,
120
+ "learning_rate": 0.00019977178599792623,
121
+ "loss": 0.297,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.10912738214643931,
126
+ "grad_norm": 0.29314759373664856,
127
+ "learning_rate": 0.00019969620309967198,
128
+ "loss": 0.2975,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.11554663991975928,
133
+ "grad_norm": 0.3220290541648865,
134
+ "learning_rate": 0.0001996098459890194,
135
+ "loss": 0.2717,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.12196589769307924,
140
+ "grad_norm": 0.26825714111328125,
141
+ "learning_rate": 0.00019951272399861938,
142
+ "loss": 0.262,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1283851554663992,
147
+ "grad_norm": 0.2678840458393097,
148
+ "learning_rate": 0.00019940484762448794,
149
+ "loss": 0.2439,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.13480441323971915,
154
+ "grad_norm": 0.26287031173706055,
155
+ "learning_rate": 0.00019928622852487216,
156
+ "loss": 0.2463,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.14122367101303912,
161
+ "grad_norm": 0.2625996172428131,
162
+ "learning_rate": 0.00019915687951899025,
163
+ "loss": 0.2158,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.14764292878635907,
168
+ "grad_norm": 0.21532030403614044,
169
+ "learning_rate": 0.00019901681458564592,
170
+ "loss": 0.2505,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.15406218655967904,
175
+ "grad_norm": 0.18523766100406647,
176
+ "learning_rate": 0.00019886604886171797,
177
+ "loss": 0.2648,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.160481444332999,
182
+ "grad_norm": 0.1750323474407196,
183
+ "learning_rate": 0.00019870459864052435,
184
+ "loss": 0.1999,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.16690070210631897,
189
+ "grad_norm": 0.21571072936058044,
190
+ "learning_rate": 0.00019853248137006123,
191
+ "loss": 0.2513,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1733199598796389,
196
+ "grad_norm": 0.4137316942214966,
197
+ "learning_rate": 0.00019834971565111758,
198
+ "loss": 0.2365,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1797392176529589,
203
+ "grad_norm": 0.1867353618144989,
204
+ "learning_rate": 0.0001981563212352648,
205
+ "loss": 0.2136,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.18615847542627884,
210
+ "grad_norm": 0.24344463646411896,
211
+ "learning_rate": 0.0001979523190227222,
212
+ "loss": 0.2051,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.19257773319959878,
217
+ "grad_norm": 0.32625189423561096,
218
+ "learning_rate": 0.0001977377310600984,
219
+ "loss": 0.2142,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.19899699097291876,
224
+ "grad_norm": 0.2645917236804962,
225
+ "learning_rate": 0.00019751258053800865,
226
+ "loss": 0.2169,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2054162487462387,
231
+ "grad_norm": 0.2912643849849701,
232
+ "learning_rate": 0.0001972768917885686,
233
+ "loss": 0.2276,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.21183550651955868,
238
+ "grad_norm": 0.18374884128570557,
239
+ "learning_rate": 0.00019703069028276482,
240
+ "loss": 0.181,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.21825476429287863,
245
+ "grad_norm": 0.22864000499248505,
246
+ "learning_rate": 0.000196774002627702,
247
+ "loss": 0.2036,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2246740220661986,
252
+ "grad_norm": 0.1839989423751831,
253
+ "learning_rate": 0.00019650685656372763,
254
+ "loss": 0.1646,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.23109327983951855,
259
+ "grad_norm": 0.2861062288284302,
260
+ "learning_rate": 0.000196229280961434,
261
+ "loss": 0.1854,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.23751253761283853,
266
+ "grad_norm": 0.19540704786777496,
267
+ "learning_rate": 0.00019594130581853823,
268
+ "loss": 0.1444,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.24393179538615847,
273
+ "grad_norm": 0.33926671743392944,
274
+ "learning_rate": 0.0001956429622566403,
275
+ "loss": 0.1933,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.2503510531594784,
280
+ "grad_norm": 0.3747280538082123,
281
+ "learning_rate": 0.00019533428251785983,
282
+ "loss": 0.1932,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.2567703109327984,
287
+ "grad_norm": 0.1787070333957672,
288
+ "learning_rate": 0.00019501529996135156,
289
+ "loss": 0.1855,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.26318956870611837,
294
+ "grad_norm": 0.21175768971443176,
295
+ "learning_rate": 0.00019468604905970033,
296
+ "loss": 0.2053,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.2696088264794383,
301
+ "grad_norm": 0.22584153711795807,
302
+ "learning_rate": 0.00019434656539519548,
303
+ "loss": 0.1551,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.27602808425275827,
308
+ "grad_norm": 0.20716825127601624,
309
+ "learning_rate": 0.00019399688565598547,
310
+ "loss": 0.1708,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.28244734202607824,
315
+ "grad_norm": 0.21005718410015106,
316
+ "learning_rate": 0.0001936370476321132,
317
+ "loss": 0.1279,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.2888665997993982,
322
+ "grad_norm": 0.209135502576828,
323
+ "learning_rate": 0.00019326709021143167,
324
+ "loss": 0.1584,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.29528585757271814,
329
+ "grad_norm": 0.2232855260372162,
330
+ "learning_rate": 0.00019288705337540166,
331
+ "loss": 0.1562,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3017051153460381,
336
+ "grad_norm": 0.2212464064359665,
337
+ "learning_rate": 0.0001924969781947707,
338
+ "loss": 0.1733,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.3081243731193581,
343
+ "grad_norm": 0.18040229380130768,
344
+ "learning_rate": 0.00019209690682513465,
345
+ "loss": 0.12,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.31454363089267806,
350
+ "grad_norm": 0.16415567696094513,
351
+ "learning_rate": 0.0001916868825023819,
352
+ "loss": 0.1257,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.320962888665998,
357
+ "grad_norm": 0.18324217200279236,
358
+ "learning_rate": 0.00019126694953802093,
359
+ "loss": 0.138,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.320962888665998,
364
+ "eval_loss": 0.15367139875888824,
365
+ "eval_runtime": 127.7222,
366
+ "eval_samples_per_second": 10.296,
367
+ "eval_steps_per_second": 10.296,
368
+ "step": 500
369
+ },
370
+ {
371
+ "epoch": 0.32738214643931796,
372
+ "grad_norm": 0.15339615941047668,
373
+ "learning_rate": 0.00019083715331439134,
374
+ "loss": 0.1653,
375
+ "step": 510
376
+ },
377
+ {
378
+ "epoch": 0.33380140421263793,
379
+ "grad_norm": 0.2750616669654846,
380
+ "learning_rate": 0.00019039754027975952,
381
+ "loss": 0.1834,
382
+ "step": 520
383
+ },
384
+ {
385
+ "epoch": 0.34022066198595785,
386
+ "grad_norm": 0.20012134313583374,
387
+ "learning_rate": 0.00018994815794329896,
388
+ "loss": 0.1278,
389
+ "step": 530
390
+ },
391
+ {
392
+ "epoch": 0.3466399197592778,
393
+ "grad_norm": 0.24493156373500824,
394
+ "learning_rate": 0.0001894890548699559,
395
+ "loss": 0.142,
396
+ "step": 540
397
+ },
398
+ {
399
+ "epoch": 0.3530591775325978,
400
+ "grad_norm": 0.1628945767879486,
401
+ "learning_rate": 0.0001890202806752008,
402
+ "loss": 0.1287,
403
+ "step": 550
404
+ },
405
+ {
406
+ "epoch": 0.3594784353059178,
407
+ "grad_norm": 0.24853569269180298,
408
+ "learning_rate": 0.00018854188601966657,
409
+ "loss": 0.1397,
410
+ "step": 560
411
+ },
412
+ {
413
+ "epoch": 0.3658976930792377,
414
+ "grad_norm": 0.1540278196334839,
415
+ "learning_rate": 0.0001880539226036734,
416
+ "loss": 0.1343,
417
+ "step": 570
418
+ },
419
+ {
420
+ "epoch": 0.37231695085255767,
421
+ "grad_norm": 0.3391481935977936,
422
+ "learning_rate": 0.00018755644316164176,
423
+ "loss": 0.122,
424
+ "step": 580
425
+ },
426
+ {
427
+ "epoch": 0.37873620862587765,
428
+ "grad_norm": 0.19285668432712555,
429
+ "learning_rate": 0.0001870495014563931,
430
+ "loss": 0.1015,
431
+ "step": 590
432
+ },
433
+ {
434
+ "epoch": 0.38515546639919757,
435
+ "grad_norm": 0.19064725935459137,
436
+ "learning_rate": 0.00018653315227333992,
437
+ "loss": 0.1165,
438
+ "step": 600
439
+ },
440
+ {
441
+ "epoch": 0.39157472417251754,
442
+ "grad_norm": 0.21822167932987213,
443
+ "learning_rate": 0.00018600745141456485,
444
+ "loss": 0.1185,
445
+ "step": 610
446
+ },
447
+ {
448
+ "epoch": 0.3979939819458375,
449
+ "grad_norm": 0.21495632827281952,
450
+ "learning_rate": 0.0001854724556927903,
451
+ "loss": 0.1455,
452
+ "step": 620
453
+ },
454
+ {
455
+ "epoch": 0.4044132397191575,
456
+ "grad_norm": 0.21818260848522186,
457
+ "learning_rate": 0.00018492822292523863,
458
+ "loss": 0.1045,
459
+ "step": 630
460
+ },
461
+ {
462
+ "epoch": 0.4108324974924774,
463
+ "grad_norm": 0.2295123040676117,
464
+ "learning_rate": 0.0001843748119273837,
465
+ "loss": 0.1331,
466
+ "step": 640
467
+ },
468
+ {
469
+ "epoch": 0.4172517552657974,
470
+ "grad_norm": 0.3051343560218811,
471
+ "learning_rate": 0.0001838122825065948,
472
+ "loss": 0.1139,
473
+ "step": 650
474
+ },
475
+ {
476
+ "epoch": 0.42367101303911736,
477
+ "grad_norm": 0.24361808598041534,
478
+ "learning_rate": 0.0001832406954556732,
479
+ "loss": 0.1205,
480
+ "step": 660
481
+ },
482
+ {
483
+ "epoch": 0.43009027081243734,
484
+ "grad_norm": 0.19327011704444885,
485
+ "learning_rate": 0.00018266011254628218,
486
+ "loss": 0.087,
487
+ "step": 670
488
+ },
489
+ {
490
+ "epoch": 0.43650952858575726,
491
+ "grad_norm": 0.21391886472702026,
492
+ "learning_rate": 0.0001820705965222714,
493
+ "loss": 0.1079,
494
+ "step": 680
495
+ },
496
+ {
497
+ "epoch": 0.44292878635907723,
498
+ "grad_norm": 0.21966692805290222,
499
+ "learning_rate": 0.0001814722110928962,
500
+ "loss": 0.1188,
501
+ "step": 690
502
+ },
503
+ {
504
+ "epoch": 0.4493480441323972,
505
+ "grad_norm": 0.19202131032943726,
506
+ "learning_rate": 0.00018086502092593234,
507
+ "loss": 0.0991,
508
+ "step": 700
509
+ },
510
+ {
511
+ "epoch": 0.4557673019057171,
512
+ "grad_norm": 0.1604185700416565,
513
+ "learning_rate": 0.00018024909164068755,
514
+ "loss": 0.094,
515
+ "step": 710
516
+ },
517
+ {
518
+ "epoch": 0.4621865596790371,
519
+ "grad_norm": 0.21912045776844025,
520
+ "learning_rate": 0.00017962448980090982,
521
+ "loss": 0.1093,
522
+ "step": 720
523
+ },
524
+ {
525
+ "epoch": 0.4686058174523571,
526
+ "grad_norm": 0.16105616092681885,
527
+ "learning_rate": 0.00017899128290759395,
528
+ "loss": 0.0747,
529
+ "step": 730
530
+ },
531
+ {
532
+ "epoch": 0.47502507522567705,
533
+ "grad_norm": 0.19927042722702026,
534
+ "learning_rate": 0.00017834953939168663,
535
+ "loss": 0.1057,
536
+ "step": 740
537
+ },
538
+ {
539
+ "epoch": 0.48144433299899697,
540
+ "grad_norm": 0.2838548421859741,
541
+ "learning_rate": 0.00017769932860669111,
542
+ "loss": 0.0891,
543
+ "step": 750
544
+ },
545
+ {
546
+ "epoch": 0.48786359077231695,
547
+ "grad_norm": 0.16990593075752258,
548
+ "learning_rate": 0.00017704072082117215,
549
+ "loss": 0.0993,
550
+ "step": 760
551
+ },
552
+ {
553
+ "epoch": 0.4942828485456369,
554
+ "grad_norm": 0.22423957288265228,
555
+ "learning_rate": 0.00017637378721116197,
556
+ "loss": 0.0787,
557
+ "step": 770
558
+ },
559
+ {
560
+ "epoch": 0.5007021063189568,
561
+ "grad_norm": 0.224956676363945,
562
+ "learning_rate": 0.00017569859985246838,
563
+ "loss": 0.1019,
564
+ "step": 780
565
+ },
566
+ {
567
+ "epoch": 0.5071213640922768,
568
+ "grad_norm": 0.11727194488048553,
569
+ "learning_rate": 0.0001750152317128854,
570
+ "loss": 0.0806,
571
+ "step": 790
572
+ },
573
+ {
574
+ "epoch": 0.5135406218655968,
575
+ "grad_norm": 0.13485625386238098,
576
+ "learning_rate": 0.00017432375664430753,
577
+ "loss": 0.0873,
578
+ "step": 800
579
+ },
580
+ {
581
+ "epoch": 0.5199598796389168,
582
+ "grad_norm": 0.2887745201587677,
583
+ "learning_rate": 0.0001736242493747488,
584
+ "loss": 0.0796,
585
+ "step": 810
586
+ },
587
+ {
588
+ "epoch": 0.5263791374122367,
589
+ "grad_norm": 0.3110921084880829,
590
+ "learning_rate": 0.00017291678550026665,
591
+ "loss": 0.0912,
592
+ "step": 820
593
+ },
594
+ {
595
+ "epoch": 0.5327983951855567,
596
+ "grad_norm": 0.17630113661289215,
597
+ "learning_rate": 0.0001722014414767923,
598
+ "loss": 0.0795,
599
+ "step": 830
600
+ },
601
+ {
602
+ "epoch": 0.5392176529588766,
603
+ "grad_norm": 0.1666630357503891,
604
+ "learning_rate": 0.00017147829461186816,
605
+ "loss": 0.0791,
606
+ "step": 840
607
+ },
608
+ {
609
+ "epoch": 0.5456369107321966,
610
+ "grad_norm": 0.17798000574111938,
611
+ "learning_rate": 0.00017074742305629305,
612
+ "loss": 0.1046,
613
+ "step": 850
614
+ },
615
+ {
616
+ "epoch": 0.5520561685055165,
617
+ "grad_norm": 0.30929967761039734,
618
+ "learning_rate": 0.0001700089057956766,
619
+ "loss": 0.088,
620
+ "step": 860
621
+ },
622
+ {
623
+ "epoch": 0.5584754262788365,
624
+ "grad_norm": 0.12197452783584595,
625
+ "learning_rate": 0.00016926282264190313,
626
+ "loss": 0.0766,
627
+ "step": 870
628
+ },
629
+ {
630
+ "epoch": 0.5648946840521565,
631
+ "grad_norm": 0.254573255777359,
632
+ "learning_rate": 0.00016850925422450626,
633
+ "loss": 0.1153,
634
+ "step": 880
635
+ },
636
+ {
637
+ "epoch": 0.5713139418254765,
638
+ "grad_norm": 0.14357267320156097,
639
+ "learning_rate": 0.0001677482819819554,
640
+ "loss": 0.0919,
641
+ "step": 890
642
+ },
643
+ {
644
+ "epoch": 0.5777331995987964,
645
+ "grad_norm": 0.22417870163917542,
646
+ "learning_rate": 0.00016697998815285461,
647
+ "loss": 0.0771,
648
+ "step": 900
649
+ },
650
+ {
651
+ "epoch": 0.5841524573721163,
652
+ "grad_norm": 0.37406066060066223,
653
+ "learning_rate": 0.00016620445576705502,
654
+ "loss": 0.0783,
655
+ "step": 910
656
+ },
657
+ {
658
+ "epoch": 0.5905717151454363,
659
+ "grad_norm": 0.1301262080669403,
660
+ "learning_rate": 0.0001654217686366817,
661
+ "loss": 0.064,
662
+ "step": 920
663
+ },
664
+ {
665
+ "epoch": 0.5969909729187562,
666
+ "grad_norm": 0.13001087307929993,
667
+ "learning_rate": 0.0001646320113470761,
668
+ "loss": 0.0554,
669
+ "step": 930
670
+ },
671
+ {
672
+ "epoch": 0.6034102306920762,
673
+ "grad_norm": 0.1982804834842682,
674
+ "learning_rate": 0.00016383526924765494,
675
+ "loss": 0.0902,
676
+ "step": 940
677
+ },
678
+ {
679
+ "epoch": 0.6098294884653962,
680
+ "grad_norm": 0.14553162455558777,
681
+ "learning_rate": 0.0001630316284426864,
682
+ "loss": 0.073,
683
+ "step": 950
684
+ },
685
+ {
686
+ "epoch": 0.6162487462387162,
687
+ "grad_norm": 0.22459714114665985,
688
+ "learning_rate": 0.00016222117578198477,
689
+ "loss": 0.0874,
690
+ "step": 960
691
+ },
692
+ {
693
+ "epoch": 0.6226680040120361,
694
+ "grad_norm": 0.23248261213302612,
695
+ "learning_rate": 0.00016140399885152456,
696
+ "loss": 0.0607,
697
+ "step": 970
698
+ },
699
+ {
700
+ "epoch": 0.6290872617853561,
701
+ "grad_norm": 0.28904321789741516,
702
+ "learning_rate": 0.00016058018596397508,
703
+ "loss": 0.0708,
704
+ "step": 980
705
+ },
706
+ {
707
+ "epoch": 0.635506519558676,
708
+ "grad_norm": 0.18531730771064758,
709
+ "learning_rate": 0.00015974982614915643,
710
+ "loss": 0.064,
711
+ "step": 990
712
+ },
713
+ {
714
+ "epoch": 0.641925777331996,
715
+ "grad_norm": 0.16869930922985077,
716
+ "learning_rate": 0.00015891300914441803,
717
+ "loss": 0.0526,
718
+ "step": 1000
719
+ },
720
+ {
721
+ "epoch": 0.641925777331996,
722
+ "eval_loss": 0.08326917141675949,
723
+ "eval_runtime": 128.9614,
724
+ "eval_samples_per_second": 10.197,
725
+ "eval_steps_per_second": 10.197,
726
+ "step": 1000
727
+ },
728
+ {
729
+ "epoch": 0.6483450351053159,
730
+ "grad_norm": 0.23396554589271545,
731
+ "learning_rate": 0.00015806982538494065,
732
+ "loss": 0.0624,
733
+ "step": 1010
734
+ },
735
+ {
736
+ "epoch": 0.6547642928786359,
737
+ "grad_norm": 0.13306337594985962,
738
+ "learning_rate": 0.00015722036599396296,
739
+ "loss": 0.084,
740
+ "step": 1020
741
+ },
742
+ {
743
+ "epoch": 0.6611835506519559,
744
+ "grad_norm": 0.14258597791194916,
745
+ "learning_rate": 0.00015636472277293396,
746
+ "loss": 0.0553,
747
+ "step": 1030
748
+ },
749
+ {
750
+ "epoch": 0.6676028084252759,
751
+ "grad_norm": 0.17658811807632446,
752
+ "learning_rate": 0.00015550298819159189,
753
+ "loss": 0.0641,
754
+ "step": 1040
755
+ },
756
+ {
757
+ "epoch": 0.6740220661985958,
758
+ "grad_norm": 0.22399111092090607,
759
+ "learning_rate": 0.0001546352553779709,
760
+ "loss": 0.0798,
761
+ "step": 1050
762
+ },
763
+ {
764
+ "epoch": 0.6804413239719157,
765
+ "grad_norm": 0.25611406564712524,
766
+ "learning_rate": 0.0001537616181083368,
767
+ "loss": 0.062,
768
+ "step": 1060
769
+ },
770
+ {
771
+ "epoch": 0.6868605817452357,
772
+ "grad_norm": 0.21297794580459595,
773
+ "learning_rate": 0.00015288217079705246,
774
+ "loss": 0.0557,
775
+ "step": 1070
776
+ },
777
+ {
778
+ "epoch": 0.6932798395185557,
779
+ "grad_norm": 0.1601909101009369,
780
+ "learning_rate": 0.00015199700848637462,
781
+ "loss": 0.0838,
782
+ "step": 1080
783
+ },
784
+ {
785
+ "epoch": 0.6996990972918756,
786
+ "grad_norm": 0.19593413174152374,
787
+ "learning_rate": 0.00015110622683618243,
788
+ "loss": 0.0578,
789
+ "step": 1090
790
+ },
791
+ {
792
+ "epoch": 0.7061183550651956,
793
+ "grad_norm": 0.3398507237434387,
794
+ "learning_rate": 0.0001502099221136395,
795
+ "loss": 0.0738,
796
+ "step": 1100
797
+ },
798
+ {
799
+ "epoch": 0.7125376128385156,
800
+ "grad_norm": 0.23959602415561676,
801
+ "learning_rate": 0.0001493081911827904,
802
+ "loss": 0.0562,
803
+ "step": 1110
804
+ },
805
+ {
806
+ "epoch": 0.7189568706118356,
807
+ "grad_norm": 0.22912147641181946,
808
+ "learning_rate": 0.00014840113149409233,
809
+ "loss": 0.0708,
810
+ "step": 1120
811
+ },
812
+ {
813
+ "epoch": 0.7253761283851554,
814
+ "grad_norm": 0.1650708019733429,
815
+ "learning_rate": 0.00014748884107388372,
816
+ "loss": 0.0552,
817
+ "step": 1130
818
+ },
819
+ {
820
+ "epoch": 0.7317953861584754,
821
+ "grad_norm": 0.19332996010780334,
822
+ "learning_rate": 0.00014657141851379043,
823
+ "loss": 0.0473,
824
+ "step": 1140
825
+ },
826
+ {
827
+ "epoch": 0.7382146439317954,
828
+ "grad_norm": 0.15983298420906067,
829
+ "learning_rate": 0.00014564896296007088,
830
+ "loss": 0.0465,
831
+ "step": 1150
832
+ },
833
+ {
834
+ "epoch": 0.7446339017051153,
835
+ "grad_norm": 0.16740870475769043,
836
+ "learning_rate": 0.00014472157410290147,
837
+ "loss": 0.0482,
838
+ "step": 1160
839
+ },
840
+ {
841
+ "epoch": 0.7510531594784353,
842
+ "grad_norm": 0.17517174780368805,
843
+ "learning_rate": 0.00014378935216560268,
844
+ "loss": 0.0678,
845
+ "step": 1170
846
+ },
847
+ {
848
+ "epoch": 0.7574724172517553,
849
+ "grad_norm": 0.2131085991859436,
850
+ "learning_rate": 0.00014285239789380824,
851
+ "loss": 0.0436,
852
+ "step": 1180
853
+ },
854
+ {
855
+ "epoch": 0.7638916750250753,
856
+ "grad_norm": 0.17330893874168396,
857
+ "learning_rate": 0.00014191081254457725,
858
+ "loss": 0.0504,
859
+ "step": 1190
860
+ },
861
+ {
862
+ "epoch": 0.7703109327983951,
863
+ "grad_norm": 0.15023717284202576,
864
+ "learning_rate": 0.0001409646978754514,
865
+ "loss": 0.0531,
866
+ "step": 1200
867
+ },
868
+ {
869
+ "epoch": 0.7767301905717151,
870
+ "grad_norm": 0.10652194917201996,
871
+ "learning_rate": 0.00014001415613345793,
872
+ "loss": 0.0468,
873
+ "step": 1210
874
+ },
875
+ {
876
+ "epoch": 0.7831494483450351,
877
+ "grad_norm": 0.11492206156253815,
878
+ "learning_rate": 0.00013905929004405992,
879
+ "loss": 0.0497,
880
+ "step": 1220
881
+ },
882
+ {
883
+ "epoch": 0.7895687061183551,
884
+ "grad_norm": 0.27618470788002014,
885
+ "learning_rate": 0.00013810020280005441,
886
+ "loss": 0.0696,
887
+ "step": 1230
888
+ },
889
+ {
890
+ "epoch": 0.795987963891675,
891
+ "grad_norm": 0.10219205170869827,
892
+ "learning_rate": 0.00013713699805042057,
893
+ "loss": 0.0514,
894
+ "step": 1240
895
+ },
896
+ {
897
+ "epoch": 0.802407221664995,
898
+ "grad_norm": 0.1219983845949173,
899
+ "learning_rate": 0.00013616977988911821,
900
+ "loss": 0.0378,
901
+ "step": 1250
902
+ },
903
+ {
904
+ "epoch": 0.808826479438315,
905
+ "grad_norm": 0.1977282017469406,
906
+ "learning_rate": 0.00013519865284383818,
907
+ "loss": 0.0639,
908
+ "step": 1260
909
+ },
910
+ {
911
+ "epoch": 0.815245737211635,
912
+ "grad_norm": 0.11138994246721268,
913
+ "learning_rate": 0.00013422372186470632,
914
+ "loss": 0.0575,
915
+ "step": 1270
916
+ },
917
+ {
918
+ "epoch": 0.8216649949849548,
919
+ "grad_norm": 0.1591784507036209,
920
+ "learning_rate": 0.00013324509231294108,
921
+ "loss": 0.0399,
922
+ "step": 1280
923
+ },
924
+ {
925
+ "epoch": 0.8280842527582748,
926
+ "grad_norm": 0.12934090197086334,
927
+ "learning_rate": 0.00013226286994946746,
928
+ "loss": 0.0469,
929
+ "step": 1290
930
+ },
931
+ {
932
+ "epoch": 0.8345035105315948,
933
+ "grad_norm": 0.13661682605743408,
934
+ "learning_rate": 0.00013127716092348708,
935
+ "loss": 0.0441,
936
+ "step": 1300
937
+ },
938
+ {
939
+ "epoch": 0.8409227683049147,
940
+ "grad_norm": 0.25683388113975525,
941
+ "learning_rate": 0.0001302880717610067,
942
+ "loss": 0.0644,
943
+ "step": 1310
944
+ },
945
+ {
946
+ "epoch": 0.8473420260782347,
947
+ "grad_norm": 0.14545147120952606,
948
+ "learning_rate": 0.00012929570935332597,
949
+ "loss": 0.0446,
950
+ "step": 1320
951
+ },
952
+ {
953
+ "epoch": 0.8537612838515547,
954
+ "grad_norm": 0.16420190036296844,
955
+ "learning_rate": 0.0001283001809454856,
956
+ "loss": 0.0597,
957
+ "step": 1330
958
+ },
959
+ {
960
+ "epoch": 0.8601805416248747,
961
+ "grad_norm": 0.2332782745361328,
962
+ "learning_rate": 0.00012730159412467726,
963
+ "loss": 0.0435,
964
+ "step": 1340
965
+ },
966
+ {
967
+ "epoch": 0.8665997993981945,
968
+ "grad_norm": 0.09255204349756241,
969
+ "learning_rate": 0.00012630005680861668,
970
+ "loss": 0.0528,
971
+ "step": 1350
972
+ },
973
+ {
974
+ "epoch": 0.8730190571715145,
975
+ "grad_norm": 0.2076631337404251,
976
+ "learning_rate": 0.00012529567723388088,
977
+ "loss": 0.0525,
978
+ "step": 1360
979
+ },
980
+ {
981
+ "epoch": 0.8794383149448345,
982
+ "grad_norm": 0.17183755338191986,
983
+ "learning_rate": 0.0001242885639442111,
984
+ "loss": 0.0435,
985
+ "step": 1370
986
+ },
987
+ {
988
+ "epoch": 0.8858575727181545,
989
+ "grad_norm": 0.1666991412639618,
990
+ "learning_rate": 0.00012327882577878226,
991
+ "loss": 0.0403,
992
+ "step": 1380
993
+ },
994
+ {
995
+ "epoch": 0.8922768304914744,
996
+ "grad_norm": 0.1412462741136551,
997
+ "learning_rate": 0.00012226657186044086,
998
+ "loss": 0.0512,
999
+ "step": 1390
1000
+ },
1001
+ {
1002
+ "epoch": 0.8986960882647944,
1003
+ "grad_norm": 0.13901075720787048,
1004
+ "learning_rate": 0.00012125191158391178,
1005
+ "loss": 0.0311,
1006
+ "step": 1400
1007
+ },
1008
+ {
1009
+ "epoch": 0.9051153460381144,
1010
+ "grad_norm": 0.1401802897453308,
1011
+ "learning_rate": 0.00012023495460397614,
1012
+ "loss": 0.0383,
1013
+ "step": 1410
1014
+ },
1015
+ {
1016
+ "epoch": 0.9115346038114343,
1017
+ "grad_norm": 0.18335814774036407,
1018
+ "learning_rate": 0.00011921581082362092,
1019
+ "loss": 0.0355,
1020
+ "step": 1420
1021
+ },
1022
+ {
1023
+ "epoch": 0.9179538615847542,
1024
+ "grad_norm": 0.1105201244354248,
1025
+ "learning_rate": 0.00011819459038216143,
1026
+ "loss": 0.0433,
1027
+ "step": 1430
1028
+ },
1029
+ {
1030
+ "epoch": 0.9243731193580742,
1031
+ "grad_norm": 0.10848142206668854,
1032
+ "learning_rate": 0.00011717140364333874,
1033
+ "loss": 0.0333,
1034
+ "step": 1440
1035
+ },
1036
+ {
1037
+ "epoch": 0.9307923771313942,
1038
+ "grad_norm": 0.07852191478013992,
1039
+ "learning_rate": 0.00011614636118339249,
1040
+ "loss": 0.0466,
1041
+ "step": 1450
1042
+ },
1043
+ {
1044
+ "epoch": 0.9372116349047142,
1045
+ "grad_norm": 0.16577693819999695,
1046
+ "learning_rate": 0.00011511957377911091,
1047
+ "loss": 0.0533,
1048
+ "step": 1460
1049
+ },
1050
+ {
1051
+ "epoch": 0.9436308926780341,
1052
+ "grad_norm": 0.12513399124145508,
1053
+ "learning_rate": 0.00011409115239585921,
1054
+ "loss": 0.0371,
1055
+ "step": 1470
1056
+ },
1057
+ {
1058
+ "epoch": 0.9500501504513541,
1059
+ "grad_norm": 0.24522411823272705,
1060
+ "learning_rate": 0.00011306120817558736,
1061
+ "loss": 0.0463,
1062
+ "step": 1480
1063
+ },
1064
+ {
1065
+ "epoch": 0.956469408224674,
1066
+ "grad_norm": 0.1543067842721939,
1067
+ "learning_rate": 0.00011202985242481898,
1068
+ "loss": 0.0411,
1069
+ "step": 1490
1070
+ },
1071
+ {
1072
+ "epoch": 0.9628886659979939,
1073
+ "grad_norm": 0.10811112076044083,
1074
+ "learning_rate": 0.00011099719660262243,
1075
+ "loss": 0.043,
1076
+ "step": 1500
1077
+ },
1078
+ {
1079
+ "epoch": 0.9628886659979939,
1080
+ "eval_loss": 0.057985104620456696,
1081
+ "eval_runtime": 128.7458,
1082
+ "eval_samples_per_second": 10.214,
1083
+ "eval_steps_per_second": 10.214,
1084
+ "step": 1500
1085
+ },
1086
+ {
1087
+ "epoch": 0.9693079237713139,
1088
+ "grad_norm": 0.10716786235570908,
1089
+ "learning_rate": 0.00010996335230856538,
1090
+ "loss": 0.034,
1091
+ "step": 1510
1092
+ },
1093
+ {
1094
+ "epoch": 0.9757271815446339,
1095
+ "grad_norm": 0.12667109072208405,
1096
+ "learning_rate": 0.00010892843127065416,
1097
+ "loss": 0.0382,
1098
+ "step": 1520
1099
+ },
1100
+ {
1101
+ "epoch": 0.9821464393179539,
1102
+ "grad_norm": 0.22383131086826324,
1103
+ "learning_rate": 0.00010789254533325929,
1104
+ "loss": 0.0491,
1105
+ "step": 1530
1106
+ },
1107
+ {
1108
+ "epoch": 0.9885656970912738,
1109
+ "grad_norm": 0.09304796904325485,
1110
+ "learning_rate": 0.00010685580644502837,
1111
+ "loss": 0.0354,
1112
+ "step": 1540
1113
+ },
1114
+ {
1115
+ "epoch": 0.9949849548645938,
1116
+ "grad_norm": 0.07743366062641144,
1117
+ "learning_rate": 0.0001058183266467878,
1118
+ "loss": 0.042,
1119
+ "step": 1550
1120
+ },
1121
+ {
1122
+ "epoch": 1.001283851554664,
1123
+ "grad_norm": 0.15325789153575897,
1124
+ "learning_rate": 0.00010478021805943445,
1125
+ "loss": 0.039,
1126
+ "step": 1560
1127
+ },
1128
+ {
1129
+ "epoch": 1.007703109327984,
1130
+ "grad_norm": 0.07142600417137146,
1131
+ "learning_rate": 0.00010374159287181868,
1132
+ "loss": 0.0299,
1133
+ "step": 1570
1134
+ },
1135
+ {
1136
+ "epoch": 1.014122367101304,
1137
+ "grad_norm": 0.07669597119092941,
1138
+ "learning_rate": 0.00010270256332862014,
1139
+ "loss": 0.0301,
1140
+ "step": 1580
1141
+ },
1142
+ {
1143
+ "epoch": 1.020541624874624,
1144
+ "grad_norm": 0.07297486811876297,
1145
+ "learning_rate": 0.00010166324171821721,
1146
+ "loss": 0.0347,
1147
+ "step": 1590
1148
+ },
1149
+ {
1150
+ "epoch": 1.026960882647944,
1151
+ "grad_norm": 0.20420107245445251,
1152
+ "learning_rate": 0.00010062374036055226,
1153
+ "loss": 0.0307,
1154
+ "step": 1600
1155
+ },
1156
+ {
1157
+ "epoch": 1.0333801404212637,
1158
+ "grad_norm": 0.09947313368320465,
1159
+ "learning_rate": 9.958417159499298e-05,
1160
+ "loss": 0.0307,
1161
+ "step": 1610
1162
+ },
1163
+ {
1164
+ "epoch": 1.0397993981945837,
1165
+ "grad_norm": 0.11809804290533066,
1166
+ "learning_rate": 9.85446477681918e-05,
1167
+ "loss": 0.0299,
1168
+ "step": 1620
1169
+ },
1170
+ {
1171
+ "epoch": 1.0462186559679036,
1172
+ "grad_norm": 0.2631526291370392,
1173
+ "learning_rate": 9.750528122194467e-05,
1174
+ "loss": 0.0387,
1175
+ "step": 1630
1176
+ },
1177
+ {
1178
+ "epoch": 1.0526379137412236,
1179
+ "grad_norm": 0.08276328444480896,
1180
+ "learning_rate": 9.646618428105013e-05,
1181
+ "loss": 0.0305,
1182
+ "step": 1640
1183
+ },
1184
+ {
1185
+ "epoch": 1.0590571715145436,
1186
+ "grad_norm": 0.11126093566417694,
1187
+ "learning_rate": 9.542746924117037e-05,
1188
+ "loss": 0.0315,
1189
+ "step": 1650
1190
+ },
1191
+ {
1192
+ "epoch": 1.0654764292878636,
1193
+ "grad_norm": 0.125727117061615,
1194
+ "learning_rate": 9.438924835669532e-05,
1195
+ "loss": 0.0272,
1196
+ "step": 1660
1197
+ },
1198
+ {
1199
+ "epoch": 1.0718956870611835,
1200
+ "grad_norm": 0.13635793328285217,
1201
+ "learning_rate": 9.33516338286114e-05,
1202
+ "loss": 0.0339,
1203
+ "step": 1670
1204
+ },
1205
+ {
1206
+ "epoch": 1.0783149448345035,
1207
+ "grad_norm": 0.1484992802143097,
1208
+ "learning_rate": 9.231473779237579e-05,
1209
+ "loss": 0.0301,
1210
+ "step": 1680
1211
+ },
1212
+ {
1213
+ "epoch": 1.0847342026078235,
1214
+ "grad_norm": 0.12370124459266663,
1215
+ "learning_rate": 9.127867230579788e-05,
1216
+ "loss": 0.0244,
1217
+ "step": 1690
1218
+ },
1219
+ {
1220
+ "epoch": 1.0911534603811435,
1221
+ "grad_norm": 0.11567872017621994,
1222
+ "learning_rate": 9.024354933692935e-05,
1223
+ "loss": 0.0291,
1224
+ "step": 1700
1225
+ },
1226
+ {
1227
+ "epoch": 1.0975727181544634,
1228
+ "grad_norm": 0.09546232968568802,
1229
+ "learning_rate": 8.920948075196332e-05,
1230
+ "loss": 0.0229,
1231
+ "step": 1710
1232
+ },
1233
+ {
1234
+ "epoch": 1.1039919759277834,
1235
+ "grad_norm": 0.05330915004014969,
1236
+ "learning_rate": 8.817657830314546e-05,
1237
+ "loss": 0.029,
1238
+ "step": 1720
1239
+ },
1240
+ {
1241
+ "epoch": 1.1104112337011034,
1242
+ "grad_norm": 0.07367228716611862,
1243
+ "learning_rate": 8.714495361669644e-05,
1244
+ "loss": 0.0316,
1245
+ "step": 1730
1246
+ },
1247
+ {
1248
+ "epoch": 1.1168304914744234,
1249
+ "grad_norm": 0.056328821927309036,
1250
+ "learning_rate": 8.61147181807486e-05,
1251
+ "loss": 0.0256,
1252
+ "step": 1740
1253
+ },
1254
+ {
1255
+ "epoch": 1.1232497492477433,
1256
+ "grad_norm": 0.11536078155040741,
1257
+ "learning_rate": 8.508598333329744e-05,
1258
+ "loss": 0.0234,
1259
+ "step": 1750
1260
+ },
1261
+ {
1262
+ "epoch": 1.129669007021063,
1263
+ "grad_norm": 0.09325211495161057,
1264
+ "learning_rate": 8.405886025016911e-05,
1265
+ "loss": 0.0316,
1266
+ "step": 1760
1267
+ },
1268
+ {
1269
+ "epoch": 1.136088264794383,
1270
+ "grad_norm": 0.06355856359004974,
1271
+ "learning_rate": 8.303345993300575e-05,
1272
+ "loss": 0.0255,
1273
+ "step": 1770
1274
+ },
1275
+ {
1276
+ "epoch": 1.142507522567703,
1277
+ "grad_norm": 0.11567080020904541,
1278
+ "learning_rate": 8.200989319726937e-05,
1279
+ "loss": 0.0253,
1280
+ "step": 1780
1281
+ },
1282
+ {
1283
+ "epoch": 1.148926780341023,
1284
+ "grad_norm": 0.11177469789981842,
1285
+ "learning_rate": 8.098827066026615e-05,
1286
+ "loss": 0.025,
1287
+ "step": 1790
1288
+ },
1289
+ {
1290
+ "epoch": 1.155346038114343,
1291
+ "grad_norm": 0.12497933954000473,
1292
+ "learning_rate": 7.996870272919165e-05,
1293
+ "loss": 0.0274,
1294
+ "step": 1800
1295
+ },
1296
+ {
1297
+ "epoch": 1.161765295887663,
1298
+ "grad_norm": 0.11924732476472855,
1299
+ "learning_rate": 7.895129958919947e-05,
1300
+ "loss": 0.0321,
1301
+ "step": 1810
1302
+ },
1303
+ {
1304
+ "epoch": 1.168184553660983,
1305
+ "grad_norm": 0.08141748607158661,
1306
+ "learning_rate": 7.793617119149319e-05,
1307
+ "loss": 0.0262,
1308
+ "step": 1820
1309
+ },
1310
+ {
1311
+ "epoch": 1.174603811434303,
1312
+ "grad_norm": 0.11012791097164154,
1313
+ "learning_rate": 7.692342724144397e-05,
1314
+ "loss": 0.0226,
1315
+ "step": 1830
1316
+ },
1317
+ {
1318
+ "epoch": 1.181023069207623,
1319
+ "grad_norm": 0.12142367660999298,
1320
+ "learning_rate": 7.59131771867348e-05,
1321
+ "loss": 0.0302,
1322
+ "step": 1840
1323
+ },
1324
+ {
1325
+ "epoch": 1.1874423269809429,
1326
+ "grad_norm": 0.04989106208086014,
1327
+ "learning_rate": 7.490553020553214e-05,
1328
+ "loss": 0.0297,
1329
+ "step": 1850
1330
+ },
1331
+ {
1332
+ "epoch": 1.1938615847542629,
1333
+ "grad_norm": 0.11036371439695358,
1334
+ "learning_rate": 7.390059519468726e-05,
1335
+ "loss": 0.0287,
1336
+ "step": 1860
1337
+ },
1338
+ {
1339
+ "epoch": 1.2002808425275828,
1340
+ "grad_norm": 0.09587734192609787,
1341
+ "learning_rate": 7.289848075796755e-05,
1342
+ "loss": 0.022,
1343
+ "step": 1870
1344
+ },
1345
+ {
1346
+ "epoch": 1.2067001003009028,
1347
+ "grad_norm": 0.1048700138926506,
1348
+ "learning_rate": 7.189929519431982e-05,
1349
+ "loss": 0.0246,
1350
+ "step": 1880
1351
+ },
1352
+ {
1353
+ "epoch": 1.2131193580742226,
1354
+ "grad_norm": 0.1045086681842804,
1355
+ "learning_rate": 7.090314648616607e-05,
1356
+ "loss": 0.0245,
1357
+ "step": 1890
1358
+ },
1359
+ {
1360
+ "epoch": 1.2195386158475428,
1361
+ "grad_norm": 0.08027637004852295,
1362
+ "learning_rate": 6.991014228773421e-05,
1363
+ "loss": 0.027,
1364
+ "step": 1900
1365
+ },
1366
+ {
1367
+ "epoch": 1.2259578736208625,
1368
+ "grad_norm": 0.09890926629304886,
1369
+ "learning_rate": 6.892038991342349e-05,
1370
+ "loss": 0.0266,
1371
+ "step": 1910
1372
+ },
1373
+ {
1374
+ "epoch": 1.2323771313941825,
1375
+ "grad_norm": 0.06575173139572144,
1376
+ "learning_rate": 6.793399632620715e-05,
1377
+ "loss": 0.0232,
1378
+ "step": 1920
1379
+ },
1380
+ {
1381
+ "epoch": 1.2387963891675025,
1382
+ "grad_norm": 0.07365952432155609,
1383
+ "learning_rate": 6.695106812607282e-05,
1384
+ "loss": 0.0222,
1385
+ "step": 1930
1386
+ },
1387
+ {
1388
+ "epoch": 1.2452156469408224,
1389
+ "grad_norm": 0.1399465799331665,
1390
+ "learning_rate": 6.597171153850219e-05,
1391
+ "loss": 0.0239,
1392
+ "step": 1940
1393
+ },
1394
+ {
1395
+ "epoch": 1.2516349047141424,
1396
+ "grad_norm": 0.07138116657733917,
1397
+ "learning_rate": 6.499603240299133e-05,
1398
+ "loss": 0.0261,
1399
+ "step": 1950
1400
+ },
1401
+ {
1402
+ "epoch": 1.2580541624874624,
1403
+ "grad_norm": 0.07462996989488602,
1404
+ "learning_rate": 6.40241361616123e-05,
1405
+ "loss": 0.0263,
1406
+ "step": 1960
1407
+ },
1408
+ {
1409
+ "epoch": 1.2644734202607824,
1410
+ "grad_norm": 0.06026960164308548,
1411
+ "learning_rate": 6.305612784761823e-05,
1412
+ "loss": 0.0286,
1413
+ "step": 1970
1414
+ },
1415
+ {
1416
+ "epoch": 1.2708926780341023,
1417
+ "grad_norm": 0.04298267886042595,
1418
+ "learning_rate": 6.209211207409225e-05,
1419
+ "loss": 0.0255,
1420
+ "step": 1980
1421
+ },
1422
+ {
1423
+ "epoch": 1.2773119358074223,
1424
+ "grad_norm": 0.053071849048137665,
1425
+ "learning_rate": 6.113219302264174e-05,
1426
+ "loss": 0.0217,
1427
+ "step": 1990
1428
+ },
1429
+ {
1430
+ "epoch": 1.2837311935807423,
1431
+ "grad_norm": 0.05462060496211052,
1432
+ "learning_rate": 6.017647443213974e-05,
1433
+ "loss": 0.0246,
1434
+ "step": 2000
1435
+ },
1436
+ {
1437
+ "epoch": 1.2837311935807423,
1438
+ "eval_loss": 0.046459589153528214,
1439
+ "eval_runtime": 128.8944,
1440
+ "eval_samples_per_second": 10.202,
1441
+ "eval_steps_per_second": 10.202,
1442
+ "step": 2000
1443
+ },
1444
+ {
1445
+ "epoch": 1.2901504513540623,
1446
+ "grad_norm": 0.052726052701473236,
1447
+ "learning_rate": 5.9225059587513454e-05,
1448
+ "loss": 0.0227,
1449
+ "step": 2010
1450
+ },
1451
+ {
1452
+ "epoch": 1.296569709127382,
1453
+ "grad_norm": 0.05038246139883995,
1454
+ "learning_rate": 5.8278051308582505e-05,
1455
+ "loss": 0.0273,
1456
+ "step": 2020
1457
+ },
1458
+ {
1459
+ "epoch": 1.3029889669007022,
1460
+ "grad_norm": 0.09061837941408157,
1461
+ "learning_rate": 5.733555193894695e-05,
1462
+ "loss": 0.0296,
1463
+ "step": 2030
1464
+ },
1465
+ {
1466
+ "epoch": 1.309408224674022,
1467
+ "grad_norm": 0.11903833597898483,
1468
+ "learning_rate": 5.6397663334927096e-05,
1469
+ "loss": 0.0309,
1470
+ "step": 2040
1471
+ },
1472
+ {
1473
+ "epoch": 1.3158274824473422,
1474
+ "grad_norm": 0.05378040671348572,
1475
+ "learning_rate": 5.5464486854555744e-05,
1476
+ "loss": 0.0236,
1477
+ "step": 2050
1478
+ },
1479
+ {
1480
+ "epoch": 1.322246740220662,
1481
+ "grad_norm": 0.049429334700107574,
1482
+ "learning_rate": 5.453612334662446e-05,
1483
+ "loss": 0.0248,
1484
+ "step": 2060
1485
+ },
1486
+ {
1487
+ "epoch": 1.3286659979939819,
1488
+ "grad_norm": 0.0931214764714241,
1489
+ "learning_rate": 5.361267313978472e-05,
1490
+ "loss": 0.0319,
1491
+ "step": 2070
1492
+ },
1493
+ {
1494
+ "epoch": 1.3350852557673019,
1495
+ "grad_norm": 0.0589577853679657,
1496
+ "learning_rate": 5.2694236031705446e-05,
1497
+ "loss": 0.0253,
1498
+ "step": 2080
1499
+ },
1500
+ {
1501
+ "epoch": 1.3415045135406218,
1502
+ "grad_norm": 0.10711564123630524,
1503
+ "learning_rate": 5.178091127828777e-05,
1504
+ "loss": 0.0283,
1505
+ "step": 2090
1506
+ },
1507
+ {
1508
+ "epoch": 1.3479237713139418,
1509
+ "grad_norm": 0.0872858390212059,
1510
+ "learning_rate": 5.087279758293837e-05,
1511
+ "loss": 0.0237,
1512
+ "step": 2100
1513
+ },
1514
+ {
1515
+ "epoch": 1.3543430290872618,
1516
+ "grad_norm": 0.05081092566251755,
1517
+ "learning_rate": 4.996999308590266e-05,
1518
+ "loss": 0.0246,
1519
+ "step": 2110
1520
+ },
1521
+ {
1522
+ "epoch": 1.3607622868605818,
1523
+ "grad_norm": 0.06178516149520874,
1524
+ "learning_rate": 4.907259535365859e-05,
1525
+ "loss": 0.0238,
1526
+ "step": 2120
1527
+ },
1528
+ {
1529
+ "epoch": 1.3671815446339017,
1530
+ "grad_norm": 0.054508257657289505,
1531
+ "learning_rate": 4.818070136837275e-05,
1532
+ "loss": 0.0209,
1533
+ "step": 2130
1534
+ },
1535
+ {
1536
+ "epoch": 1.3736008024072217,
1537
+ "grad_norm": 0.1331976354122162,
1538
+ "learning_rate": 4.72944075174193e-05,
1539
+ "loss": 0.022,
1540
+ "step": 2140
1541
+ },
1542
+ {
1543
+ "epoch": 1.3800200601805417,
1544
+ "grad_norm": 0.06243107095360756,
1545
+ "learning_rate": 4.6413809582963484e-05,
1546
+ "loss": 0.0172,
1547
+ "step": 2150
1548
+ },
1549
+ {
1550
+ "epoch": 1.3864393179538617,
1551
+ "grad_norm": 0.08247397094964981,
1552
+ "learning_rate": 4.553900273161036e-05,
1553
+ "loss": 0.0213,
1554
+ "step": 2160
1555
+ },
1556
+ {
1557
+ "epoch": 1.3928585757271814,
1558
+ "grad_norm": 0.06733040511608124,
1559
+ "learning_rate": 4.467008150412e-05,
1560
+ "loss": 0.0247,
1561
+ "step": 2170
1562
+ },
1563
+ {
1564
+ "epoch": 1.3992778335005016,
1565
+ "grad_norm": 0.05423252657055855,
1566
+ "learning_rate": 4.3807139805190613e-05,
1567
+ "loss": 0.0247,
1568
+ "step": 2180
1569
+ },
1570
+ {
1571
+ "epoch": 1.4056970912738214,
1572
+ "grad_norm": 0.10230846703052521,
1573
+ "learning_rate": 4.295027089331013e-05,
1574
+ "loss": 0.0212,
1575
+ "step": 2190
1576
+ },
1577
+ {
1578
+ "epoch": 1.4121163490471416,
1579
+ "grad_norm": 0.05248994752764702,
1580
+ "learning_rate": 4.2099567370677687e-05,
1581
+ "loss": 0.0177,
1582
+ "step": 2200
1583
+ },
1584
+ {
1585
+ "epoch": 1.4185356068204613,
1586
+ "grad_norm": 0.07035645842552185,
1587
+ "learning_rate": 4.125512117319612e-05,
1588
+ "loss": 0.021,
1589
+ "step": 2210
1590
+ },
1591
+ {
1592
+ "epoch": 1.4249548645937813,
1593
+ "grad_norm": 0.10099633783102036,
1594
+ "learning_rate": 4.041702356053639e-05,
1595
+ "loss": 0.0212,
1596
+ "step": 2220
1597
+ },
1598
+ {
1599
+ "epoch": 1.4313741223671013,
1600
+ "grad_norm": 0.13029153645038605,
1601
+ "learning_rate": 3.958536510627511e-05,
1602
+ "loss": 0.0191,
1603
+ "step": 2230
1604
+ },
1605
+ {
1606
+ "epoch": 1.4377933801404212,
1607
+ "grad_norm": 0.06044310703873634,
1608
+ "learning_rate": 3.876023568810622e-05,
1609
+ "loss": 0.0205,
1610
+ "step": 2240
1611
+ },
1612
+ {
1613
+ "epoch": 1.4442126379137412,
1614
+ "grad_norm": 0.07602677494287491,
1615
+ "learning_rate": 3.794172447812785e-05,
1616
+ "loss": 0.0184,
1617
+ "step": 2250
1618
+ },
1619
+ {
1620
+ "epoch": 1.4506318956870612,
1621
+ "grad_norm": 0.08735393732786179,
1622
+ "learning_rate": 3.7129919933205536e-05,
1623
+ "loss": 0.0251,
1624
+ "step": 2260
1625
+ },
1626
+ {
1627
+ "epoch": 1.4570511534603812,
1628
+ "grad_norm": 0.04306063801050186,
1629
+ "learning_rate": 3.6324909785412445e-05,
1630
+ "loss": 0.0183,
1631
+ "step": 2270
1632
+ },
1633
+ {
1634
+ "epoch": 1.4634704112337011,
1635
+ "grad_norm": 0.05602416768670082,
1636
+ "learning_rate": 3.552678103254838e-05,
1637
+ "loss": 0.0229,
1638
+ "step": 2280
1639
+ },
1640
+ {
1641
+ "epoch": 1.4698896690070211,
1642
+ "grad_norm": 0.09133511781692505,
1643
+ "learning_rate": 3.4735619928737764e-05,
1644
+ "loss": 0.0211,
1645
+ "step": 2290
1646
+ },
1647
+ {
1648
+ "epoch": 1.476308926780341,
1649
+ "grad_norm": 0.10781540721654892,
1650
+ "learning_rate": 3.395151197510804e-05,
1651
+ "loss": 0.0198,
1652
+ "step": 2300
1653
+ },
1654
+ {
1655
+ "epoch": 1.482728184553661,
1656
+ "grad_norm": 0.06286901980638504,
1657
+ "learning_rate": 3.3174541910549784e-05,
1658
+ "loss": 0.0221,
1659
+ "step": 2310
1660
+ },
1661
+ {
1662
+ "epoch": 1.4891474423269808,
1663
+ "grad_norm": 0.046533193439245224,
1664
+ "learning_rate": 3.2404793702558636e-05,
1665
+ "loss": 0.0188,
1666
+ "step": 2320
1667
+ },
1668
+ {
1669
+ "epoch": 1.495566700100301,
1670
+ "grad_norm": 0.034077636897563934,
1671
+ "learning_rate": 3.1642350538161045e-05,
1672
+ "loss": 0.017,
1673
+ "step": 2330
1674
+ },
1675
+ {
1676
+ "epoch": 1.5019859578736208,
1677
+ "grad_norm": 0.053730156272649765,
1678
+ "learning_rate": 3.088729481492424e-05,
1679
+ "loss": 0.0204,
1680
+ "step": 2340
1681
+ },
1682
+ {
1683
+ "epoch": 1.508405215646941,
1684
+ "grad_norm": 0.060676686465740204,
1685
+ "learning_rate": 3.0139708132051424e-05,
1686
+ "loss": 0.0201,
1687
+ "step": 2350
1688
+ },
1689
+ {
1690
+ "epoch": 1.5148244734202607,
1691
+ "grad_norm": 0.09910279512405396,
1692
+ "learning_rate": 2.939967128156328e-05,
1693
+ "loss": 0.0173,
1694
+ "step": 2360
1695
+ },
1696
+ {
1697
+ "epoch": 1.5212437311935807,
1698
+ "grad_norm": 0.0654776319861412,
1699
+ "learning_rate": 2.866726423956687e-05,
1700
+ "loss": 0.0233,
1701
+ "step": 2370
1702
+ },
1703
+ {
1704
+ "epoch": 1.5276629889669007,
1705
+ "grad_norm": 0.08738186955451965,
1706
+ "learning_rate": 2.794256615761247e-05,
1707
+ "loss": 0.0212,
1708
+ "step": 2380
1709
+ },
1710
+ {
1711
+ "epoch": 1.5340822467402206,
1712
+ "grad_norm": 0.12039466947317123,
1713
+ "learning_rate": 2.7225655354139677e-05,
1714
+ "loss": 0.0193,
1715
+ "step": 2390
1716
+ },
1717
+ {
1718
+ "epoch": 1.5405015045135406,
1719
+ "grad_norm": 0.12398708611726761,
1720
+ "learning_rate": 2.6516609306013462e-05,
1721
+ "loss": 0.024,
1722
+ "step": 2400
1723
+ },
1724
+ {
1725
+ "epoch": 1.5469207622868606,
1726
+ "grad_norm": 0.09554693102836609,
1727
+ "learning_rate": 2.5815504640151267e-05,
1728
+ "loss": 0.0195,
1729
+ "step": 2410
1730
+ },
1731
+ {
1732
+ "epoch": 1.5533400200601806,
1733
+ "grad_norm": 0.26604852080345154,
1734
+ "learning_rate": 2.512241712524185e-05,
1735
+ "loss": 0.0277,
1736
+ "step": 2420
1737
+ },
1738
+ {
1739
+ "epoch": 1.5597592778335005,
1740
+ "grad_norm": 0.08400601893663406,
1741
+ "learning_rate": 2.443742166355695e-05,
1742
+ "loss": 0.0267,
1743
+ "step": 2430
1744
+ },
1745
+ {
1746
+ "epoch": 1.5661785356068205,
1747
+ "grad_norm": 0.062076788395643234,
1748
+ "learning_rate": 2.3760592282856565e-05,
1749
+ "loss": 0.0209,
1750
+ "step": 2440
1751
+ },
1752
+ {
1753
+ "epoch": 1.5725977933801403,
1754
+ "grad_norm": 0.10021471977233887,
1755
+ "learning_rate": 2.309200212838878e-05,
1756
+ "loss": 0.0225,
1757
+ "step": 2450
1758
+ },
1759
+ {
1760
+ "epoch": 1.5790170511534605,
1761
+ "grad_norm": 0.06898768991231918,
1762
+ "learning_rate": 2.2431723454984778e-05,
1763
+ "loss": 0.0175,
1764
+ "step": 2460
1765
+ },
1766
+ {
1767
+ "epoch": 1.5854363089267802,
1768
+ "grad_norm": 0.06565247476100922,
1769
+ "learning_rate": 2.1779827619250458e-05,
1770
+ "loss": 0.019,
1771
+ "step": 2470
1772
+ },
1773
+ {
1774
+ "epoch": 1.5918555667001004,
1775
+ "grad_norm": 0.10120698809623718,
1776
+ "learning_rate": 2.1136385071854715e-05,
1777
+ "loss": 0.0214,
1778
+ "step": 2480
1779
+ },
1780
+ {
1781
+ "epoch": 1.5982748244734202,
1782
+ "grad_norm": 0.03913561999797821,
1783
+ "learning_rate": 2.050146534991587e-05,
1784
+ "loss": 0.0214,
1785
+ "step": 2490
1786
+ },
1787
+ {
1788
+ "epoch": 1.6046940822467404,
1789
+ "grad_norm": 0.07003747671842575,
1790
+ "learning_rate": 1.987513706948678e-05,
1791
+ "loss": 0.0175,
1792
+ "step": 2500
1793
+ },
1794
+ {
1795
+ "epoch": 1.6046940822467404,
1796
+ "eval_loss": 0.04088287055492401,
1797
+ "eval_runtime": 129.5987,
1798
+ "eval_samples_per_second": 10.147,
1799
+ "eval_steps_per_second": 10.147,
1800
+ "step": 2500
1801
+ }
1802
+ ],
1803
+ "logging_steps": 10,
1804
+ "max_steps": 3116,
1805
+ "num_input_tokens_seen": 0,
1806
+ "num_train_epochs": 2,
1807
+ "save_steps": 500,
1808
+ "stateful_callbacks": {
1809
+ "TrainerControl": {
1810
+ "args": {
1811
+ "should_epoch_stop": false,
1812
+ "should_evaluate": false,
1813
+ "should_log": false,
1814
+ "should_save": true,
1815
+ "should_training_stop": false
1816
+ },
1817
+ "attributes": {}
1818
+ }
1819
+ },
1820
+ "total_flos": 1.3727062552054118e+18,
1821
+ "train_batch_size": 1,
1822
+ "trial_name": null,
1823
+ "trial_params": null
1824
+ }
checkpoint-2500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cac3f796d8e8ed78082f710e5c9ee0db63889906ddeefcc55981584c04b6c12
3
+ size 5624
checkpoint-2500/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3000/README.md ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-7B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
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 0.19.1
checkpoint-3000/adapter_config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 128,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "qalora_group_size": 16,
29
+ "r": 64,
30
+ "rank_pattern": {},
31
+ "revision": null,
32
+ "target_modules": [
33
+ "up_proj",
34
+ "k_proj",
35
+ "o_proj",
36
+ "v_proj",
37
+ "gate_proj",
38
+ "down_proj",
39
+ "q_proj"
40
+ ],
41
+ "target_parameters": null,
42
+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
44
+ "use_bdlora": null,
45
+ "use_dora": false,
46
+ "use_qalora": false,
47
+ "use_rslora": false
48
+ }
checkpoint-3000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7cb453fefadc9b96c6f5f72e9b3c53ec46748149127236a2cdf80a24e561d676
3
+ size 645975704
checkpoint-3000/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-3000/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoint-3000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e82443b51a44facea6f5954743aa62de551f6bb1b65125f3bede6aee7f55b42
3
+ size 1292176234
checkpoint-3000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff8cbb1dfbc921ccfabe33a95c06fb3b8aced50bbf529ea70e0af3b78f9ee445
3
+ size 14244
checkpoint-3000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f34325fb315c9b55a9077fafc2fe88f6759c4cbacfb64403bb93806d4f12f01a
3
+ size 1064
checkpoint-3000/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-3000/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83396048d512ec1f3178af0d7c1f79a226bba041822614b0e26a4fd2d4b55bf7
3
+ size 11421995
checkpoint-3000/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 32768,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
checkpoint-3000/trainer_state.json ADDED
@@ -0,0 +1,2182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 3000,
3
+ "best_metric": 0.03883149474859238,
4
+ "best_model_checkpoint": "./checkpoints/checkpoint-3000",
5
+ "epoch": 1.9256569709127382,
6
+ "eval_steps": 500,
7
+ "global_step": 3000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0064192577733199595,
14
+ "grad_norm": 0.734896719455719,
15
+ "learning_rate": 1.9148936170212766e-05,
16
+ "loss": 1.2808,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.012838515546639919,
21
+ "grad_norm": 0.5790244340896606,
22
+ "learning_rate": 4.0425531914893614e-05,
23
+ "loss": 1.065,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01925777331995988,
28
+ "grad_norm": 0.20778240263462067,
29
+ "learning_rate": 6.170212765957447e-05,
30
+ "loss": 0.6486,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.025677031093279838,
35
+ "grad_norm": 0.17519450187683105,
36
+ "learning_rate": 8.297872340425533e-05,
37
+ "loss": 0.559,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.0320962888665998,
42
+ "grad_norm": 0.2367718517780304,
43
+ "learning_rate": 0.00010425531914893618,
44
+ "loss": 0.4906,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.03851554663991976,
49
+ "grad_norm": 0.24615059792995453,
50
+ "learning_rate": 0.00012553191489361702,
51
+ "loss": 0.4413,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.04493480441323972,
56
+ "grad_norm": 0.22158223390579224,
57
+ "learning_rate": 0.00014680851063829788,
58
+ "loss": 0.386,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.051354062186559676,
63
+ "grad_norm": 0.18299002945423126,
64
+ "learning_rate": 0.00016808510638297873,
65
+ "loss": 0.37,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.05777331995987964,
70
+ "grad_norm": 0.483330100774765,
71
+ "learning_rate": 0.00018936170212765957,
72
+ "loss": 0.408,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.0641925777331996,
77
+ "grad_norm": 0.36728036403656006,
78
+ "learning_rate": 0.00019999864911039267,
79
+ "loss": 0.3986,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.07061183550651956,
84
+ "grad_norm": 0.23549625277519226,
85
+ "learning_rate": 0.00019998784221252132,
86
+ "loss": 0.3367,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.07703109327983952,
91
+ "grad_norm": 0.2653771936893463,
92
+ "learning_rate": 0.0001999662295846848,
93
+ "loss": 0.3457,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.08345035105315948,
98
+ "grad_norm": 0.21738414466381073,
99
+ "learning_rate": 0.0001999338135625693,
100
+ "loss": 0.3075,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.08986960882647944,
105
+ "grad_norm": 0.2068450152873993,
106
+ "learning_rate": 0.00019989059764938857,
107
+ "loss": 0.3423,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.09628886659979939,
112
+ "grad_norm": 0.24901063740253448,
113
+ "learning_rate": 0.00019983658651550522,
114
+ "loss": 0.2767,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.10270812437311935,
119
+ "grad_norm": 0.34664201736450195,
120
+ "learning_rate": 0.00019977178599792623,
121
+ "loss": 0.297,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.10912738214643931,
126
+ "grad_norm": 0.29314759373664856,
127
+ "learning_rate": 0.00019969620309967198,
128
+ "loss": 0.2975,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.11554663991975928,
133
+ "grad_norm": 0.3220290541648865,
134
+ "learning_rate": 0.0001996098459890194,
135
+ "loss": 0.2717,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.12196589769307924,
140
+ "grad_norm": 0.26825714111328125,
141
+ "learning_rate": 0.00019951272399861938,
142
+ "loss": 0.262,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1283851554663992,
147
+ "grad_norm": 0.2678840458393097,
148
+ "learning_rate": 0.00019940484762448794,
149
+ "loss": 0.2439,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.13480441323971915,
154
+ "grad_norm": 0.26287031173706055,
155
+ "learning_rate": 0.00019928622852487216,
156
+ "loss": 0.2463,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.14122367101303912,
161
+ "grad_norm": 0.2625996172428131,
162
+ "learning_rate": 0.00019915687951899025,
163
+ "loss": 0.2158,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.14764292878635907,
168
+ "grad_norm": 0.21532030403614044,
169
+ "learning_rate": 0.00019901681458564592,
170
+ "loss": 0.2505,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.15406218655967904,
175
+ "grad_norm": 0.18523766100406647,
176
+ "learning_rate": 0.00019886604886171797,
177
+ "loss": 0.2648,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.160481444332999,
182
+ "grad_norm": 0.1750323474407196,
183
+ "learning_rate": 0.00019870459864052435,
184
+ "loss": 0.1999,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.16690070210631897,
189
+ "grad_norm": 0.21571072936058044,
190
+ "learning_rate": 0.00019853248137006123,
191
+ "loss": 0.2513,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1733199598796389,
196
+ "grad_norm": 0.4137316942214966,
197
+ "learning_rate": 0.00019834971565111758,
198
+ "loss": 0.2365,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1797392176529589,
203
+ "grad_norm": 0.1867353618144989,
204
+ "learning_rate": 0.0001981563212352648,
205
+ "loss": 0.2136,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.18615847542627884,
210
+ "grad_norm": 0.24344463646411896,
211
+ "learning_rate": 0.0001979523190227222,
212
+ "loss": 0.2051,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.19257773319959878,
217
+ "grad_norm": 0.32625189423561096,
218
+ "learning_rate": 0.0001977377310600984,
219
+ "loss": 0.2142,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.19899699097291876,
224
+ "grad_norm": 0.2645917236804962,
225
+ "learning_rate": 0.00019751258053800865,
226
+ "loss": 0.2169,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2054162487462387,
231
+ "grad_norm": 0.2912643849849701,
232
+ "learning_rate": 0.0001972768917885686,
233
+ "loss": 0.2276,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.21183550651955868,
238
+ "grad_norm": 0.18374884128570557,
239
+ "learning_rate": 0.00019703069028276482,
240
+ "loss": 0.181,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.21825476429287863,
245
+ "grad_norm": 0.22864000499248505,
246
+ "learning_rate": 0.000196774002627702,
247
+ "loss": 0.2036,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2246740220661986,
252
+ "grad_norm": 0.1839989423751831,
253
+ "learning_rate": 0.00019650685656372763,
254
+ "loss": 0.1646,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.23109327983951855,
259
+ "grad_norm": 0.2861062288284302,
260
+ "learning_rate": 0.000196229280961434,
261
+ "loss": 0.1854,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.23751253761283853,
266
+ "grad_norm": 0.19540704786777496,
267
+ "learning_rate": 0.00019594130581853823,
268
+ "loss": 0.1444,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.24393179538615847,
273
+ "grad_norm": 0.33926671743392944,
274
+ "learning_rate": 0.0001956429622566403,
275
+ "loss": 0.1933,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.2503510531594784,
280
+ "grad_norm": 0.3747280538082123,
281
+ "learning_rate": 0.00019533428251785983,
282
+ "loss": 0.1932,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.2567703109327984,
287
+ "grad_norm": 0.1787070333957672,
288
+ "learning_rate": 0.00019501529996135156,
289
+ "loss": 0.1855,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.26318956870611837,
294
+ "grad_norm": 0.21175768971443176,
295
+ "learning_rate": 0.00019468604905970033,
296
+ "loss": 0.2053,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.2696088264794383,
301
+ "grad_norm": 0.22584153711795807,
302
+ "learning_rate": 0.00019434656539519548,
303
+ "loss": 0.1551,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.27602808425275827,
308
+ "grad_norm": 0.20716825127601624,
309
+ "learning_rate": 0.00019399688565598547,
310
+ "loss": 0.1708,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.28244734202607824,
315
+ "grad_norm": 0.21005718410015106,
316
+ "learning_rate": 0.0001936370476321132,
317
+ "loss": 0.1279,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.2888665997993982,
322
+ "grad_norm": 0.209135502576828,
323
+ "learning_rate": 0.00019326709021143167,
324
+ "loss": 0.1584,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.29528585757271814,
329
+ "grad_norm": 0.2232855260372162,
330
+ "learning_rate": 0.00019288705337540166,
331
+ "loss": 0.1562,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3017051153460381,
336
+ "grad_norm": 0.2212464064359665,
337
+ "learning_rate": 0.0001924969781947707,
338
+ "loss": 0.1733,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.3081243731193581,
343
+ "grad_norm": 0.18040229380130768,
344
+ "learning_rate": 0.00019209690682513465,
345
+ "loss": 0.12,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.31454363089267806,
350
+ "grad_norm": 0.16415567696094513,
351
+ "learning_rate": 0.0001916868825023819,
352
+ "loss": 0.1257,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.320962888665998,
357
+ "grad_norm": 0.18324217200279236,
358
+ "learning_rate": 0.00019126694953802093,
359
+ "loss": 0.138,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.320962888665998,
364
+ "eval_loss": 0.15367139875888824,
365
+ "eval_runtime": 127.7222,
366
+ "eval_samples_per_second": 10.296,
367
+ "eval_steps_per_second": 10.296,
368
+ "step": 500
369
+ },
370
+ {
371
+ "epoch": 0.32738214643931796,
372
+ "grad_norm": 0.15339615941047668,
373
+ "learning_rate": 0.00019083715331439134,
374
+ "loss": 0.1653,
375
+ "step": 510
376
+ },
377
+ {
378
+ "epoch": 0.33380140421263793,
379
+ "grad_norm": 0.2750616669654846,
380
+ "learning_rate": 0.00019039754027975952,
381
+ "loss": 0.1834,
382
+ "step": 520
383
+ },
384
+ {
385
+ "epoch": 0.34022066198595785,
386
+ "grad_norm": 0.20012134313583374,
387
+ "learning_rate": 0.00018994815794329896,
388
+ "loss": 0.1278,
389
+ "step": 530
390
+ },
391
+ {
392
+ "epoch": 0.3466399197592778,
393
+ "grad_norm": 0.24493156373500824,
394
+ "learning_rate": 0.0001894890548699559,
395
+ "loss": 0.142,
396
+ "step": 540
397
+ },
398
+ {
399
+ "epoch": 0.3530591775325978,
400
+ "grad_norm": 0.1628945767879486,
401
+ "learning_rate": 0.0001890202806752008,
402
+ "loss": 0.1287,
403
+ "step": 550
404
+ },
405
+ {
406
+ "epoch": 0.3594784353059178,
407
+ "grad_norm": 0.24853569269180298,
408
+ "learning_rate": 0.00018854188601966657,
409
+ "loss": 0.1397,
410
+ "step": 560
411
+ },
412
+ {
413
+ "epoch": 0.3658976930792377,
414
+ "grad_norm": 0.1540278196334839,
415
+ "learning_rate": 0.0001880539226036734,
416
+ "loss": 0.1343,
417
+ "step": 570
418
+ },
419
+ {
420
+ "epoch": 0.37231695085255767,
421
+ "grad_norm": 0.3391481935977936,
422
+ "learning_rate": 0.00018755644316164176,
423
+ "loss": 0.122,
424
+ "step": 580
425
+ },
426
+ {
427
+ "epoch": 0.37873620862587765,
428
+ "grad_norm": 0.19285668432712555,
429
+ "learning_rate": 0.0001870495014563931,
430
+ "loss": 0.1015,
431
+ "step": 590
432
+ },
433
+ {
434
+ "epoch": 0.38515546639919757,
435
+ "grad_norm": 0.19064725935459137,
436
+ "learning_rate": 0.00018653315227333992,
437
+ "loss": 0.1165,
438
+ "step": 600
439
+ },
440
+ {
441
+ "epoch": 0.39157472417251754,
442
+ "grad_norm": 0.21822167932987213,
443
+ "learning_rate": 0.00018600745141456485,
444
+ "loss": 0.1185,
445
+ "step": 610
446
+ },
447
+ {
448
+ "epoch": 0.3979939819458375,
449
+ "grad_norm": 0.21495632827281952,
450
+ "learning_rate": 0.0001854724556927903,
451
+ "loss": 0.1455,
452
+ "step": 620
453
+ },
454
+ {
455
+ "epoch": 0.4044132397191575,
456
+ "grad_norm": 0.21818260848522186,
457
+ "learning_rate": 0.00018492822292523863,
458
+ "loss": 0.1045,
459
+ "step": 630
460
+ },
461
+ {
462
+ "epoch": 0.4108324974924774,
463
+ "grad_norm": 0.2295123040676117,
464
+ "learning_rate": 0.0001843748119273837,
465
+ "loss": 0.1331,
466
+ "step": 640
467
+ },
468
+ {
469
+ "epoch": 0.4172517552657974,
470
+ "grad_norm": 0.3051343560218811,
471
+ "learning_rate": 0.0001838122825065948,
472
+ "loss": 0.1139,
473
+ "step": 650
474
+ },
475
+ {
476
+ "epoch": 0.42367101303911736,
477
+ "grad_norm": 0.24361808598041534,
478
+ "learning_rate": 0.0001832406954556732,
479
+ "loss": 0.1205,
480
+ "step": 660
481
+ },
482
+ {
483
+ "epoch": 0.43009027081243734,
484
+ "grad_norm": 0.19327011704444885,
485
+ "learning_rate": 0.00018266011254628218,
486
+ "loss": 0.087,
487
+ "step": 670
488
+ },
489
+ {
490
+ "epoch": 0.43650952858575726,
491
+ "grad_norm": 0.21391886472702026,
492
+ "learning_rate": 0.0001820705965222714,
493
+ "loss": 0.1079,
494
+ "step": 680
495
+ },
496
+ {
497
+ "epoch": 0.44292878635907723,
498
+ "grad_norm": 0.21966692805290222,
499
+ "learning_rate": 0.0001814722110928962,
500
+ "loss": 0.1188,
501
+ "step": 690
502
+ },
503
+ {
504
+ "epoch": 0.4493480441323972,
505
+ "grad_norm": 0.19202131032943726,
506
+ "learning_rate": 0.00018086502092593234,
507
+ "loss": 0.0991,
508
+ "step": 700
509
+ },
510
+ {
511
+ "epoch": 0.4557673019057171,
512
+ "grad_norm": 0.1604185700416565,
513
+ "learning_rate": 0.00018024909164068755,
514
+ "loss": 0.094,
515
+ "step": 710
516
+ },
517
+ {
518
+ "epoch": 0.4621865596790371,
519
+ "grad_norm": 0.21912045776844025,
520
+ "learning_rate": 0.00017962448980090982,
521
+ "loss": 0.1093,
522
+ "step": 720
523
+ },
524
+ {
525
+ "epoch": 0.4686058174523571,
526
+ "grad_norm": 0.16105616092681885,
527
+ "learning_rate": 0.00017899128290759395,
528
+ "loss": 0.0747,
529
+ "step": 730
530
+ },
531
+ {
532
+ "epoch": 0.47502507522567705,
533
+ "grad_norm": 0.19927042722702026,
534
+ "learning_rate": 0.00017834953939168663,
535
+ "loss": 0.1057,
536
+ "step": 740
537
+ },
538
+ {
539
+ "epoch": 0.48144433299899697,
540
+ "grad_norm": 0.2838548421859741,
541
+ "learning_rate": 0.00017769932860669111,
542
+ "loss": 0.0891,
543
+ "step": 750
544
+ },
545
+ {
546
+ "epoch": 0.48786359077231695,
547
+ "grad_norm": 0.16990593075752258,
548
+ "learning_rate": 0.00017704072082117215,
549
+ "loss": 0.0993,
550
+ "step": 760
551
+ },
552
+ {
553
+ "epoch": 0.4942828485456369,
554
+ "grad_norm": 0.22423957288265228,
555
+ "learning_rate": 0.00017637378721116197,
556
+ "loss": 0.0787,
557
+ "step": 770
558
+ },
559
+ {
560
+ "epoch": 0.5007021063189568,
561
+ "grad_norm": 0.224956676363945,
562
+ "learning_rate": 0.00017569859985246838,
563
+ "loss": 0.1019,
564
+ "step": 780
565
+ },
566
+ {
567
+ "epoch": 0.5071213640922768,
568
+ "grad_norm": 0.11727194488048553,
569
+ "learning_rate": 0.0001750152317128854,
570
+ "loss": 0.0806,
571
+ "step": 790
572
+ },
573
+ {
574
+ "epoch": 0.5135406218655968,
575
+ "grad_norm": 0.13485625386238098,
576
+ "learning_rate": 0.00017432375664430753,
577
+ "loss": 0.0873,
578
+ "step": 800
579
+ },
580
+ {
581
+ "epoch": 0.5199598796389168,
582
+ "grad_norm": 0.2887745201587677,
583
+ "learning_rate": 0.0001736242493747488,
584
+ "loss": 0.0796,
585
+ "step": 810
586
+ },
587
+ {
588
+ "epoch": 0.5263791374122367,
589
+ "grad_norm": 0.3110921084880829,
590
+ "learning_rate": 0.00017291678550026665,
591
+ "loss": 0.0912,
592
+ "step": 820
593
+ },
594
+ {
595
+ "epoch": 0.5327983951855567,
596
+ "grad_norm": 0.17630113661289215,
597
+ "learning_rate": 0.0001722014414767923,
598
+ "loss": 0.0795,
599
+ "step": 830
600
+ },
601
+ {
602
+ "epoch": 0.5392176529588766,
603
+ "grad_norm": 0.1666630357503891,
604
+ "learning_rate": 0.00017147829461186816,
605
+ "loss": 0.0791,
606
+ "step": 840
607
+ },
608
+ {
609
+ "epoch": 0.5456369107321966,
610
+ "grad_norm": 0.17798000574111938,
611
+ "learning_rate": 0.00017074742305629305,
612
+ "loss": 0.1046,
613
+ "step": 850
614
+ },
615
+ {
616
+ "epoch": 0.5520561685055165,
617
+ "grad_norm": 0.30929967761039734,
618
+ "learning_rate": 0.0001700089057956766,
619
+ "loss": 0.088,
620
+ "step": 860
621
+ },
622
+ {
623
+ "epoch": 0.5584754262788365,
624
+ "grad_norm": 0.12197452783584595,
625
+ "learning_rate": 0.00016926282264190313,
626
+ "loss": 0.0766,
627
+ "step": 870
628
+ },
629
+ {
630
+ "epoch": 0.5648946840521565,
631
+ "grad_norm": 0.254573255777359,
632
+ "learning_rate": 0.00016850925422450626,
633
+ "loss": 0.1153,
634
+ "step": 880
635
+ },
636
+ {
637
+ "epoch": 0.5713139418254765,
638
+ "grad_norm": 0.14357267320156097,
639
+ "learning_rate": 0.0001677482819819554,
640
+ "loss": 0.0919,
641
+ "step": 890
642
+ },
643
+ {
644
+ "epoch": 0.5777331995987964,
645
+ "grad_norm": 0.22417870163917542,
646
+ "learning_rate": 0.00016697998815285461,
647
+ "loss": 0.0771,
648
+ "step": 900
649
+ },
650
+ {
651
+ "epoch": 0.5841524573721163,
652
+ "grad_norm": 0.37406066060066223,
653
+ "learning_rate": 0.00016620445576705502,
654
+ "loss": 0.0783,
655
+ "step": 910
656
+ },
657
+ {
658
+ "epoch": 0.5905717151454363,
659
+ "grad_norm": 0.1301262080669403,
660
+ "learning_rate": 0.0001654217686366817,
661
+ "loss": 0.064,
662
+ "step": 920
663
+ },
664
+ {
665
+ "epoch": 0.5969909729187562,
666
+ "grad_norm": 0.13001087307929993,
667
+ "learning_rate": 0.0001646320113470761,
668
+ "loss": 0.0554,
669
+ "step": 930
670
+ },
671
+ {
672
+ "epoch": 0.6034102306920762,
673
+ "grad_norm": 0.1982804834842682,
674
+ "learning_rate": 0.00016383526924765494,
675
+ "loss": 0.0902,
676
+ "step": 940
677
+ },
678
+ {
679
+ "epoch": 0.6098294884653962,
680
+ "grad_norm": 0.14553162455558777,
681
+ "learning_rate": 0.0001630316284426864,
682
+ "loss": 0.073,
683
+ "step": 950
684
+ },
685
+ {
686
+ "epoch": 0.6162487462387162,
687
+ "grad_norm": 0.22459714114665985,
688
+ "learning_rate": 0.00016222117578198477,
689
+ "loss": 0.0874,
690
+ "step": 960
691
+ },
692
+ {
693
+ "epoch": 0.6226680040120361,
694
+ "grad_norm": 0.23248261213302612,
695
+ "learning_rate": 0.00016140399885152456,
696
+ "loss": 0.0607,
697
+ "step": 970
698
+ },
699
+ {
700
+ "epoch": 0.6290872617853561,
701
+ "grad_norm": 0.28904321789741516,
702
+ "learning_rate": 0.00016058018596397508,
703
+ "loss": 0.0708,
704
+ "step": 980
705
+ },
706
+ {
707
+ "epoch": 0.635506519558676,
708
+ "grad_norm": 0.18531730771064758,
709
+ "learning_rate": 0.00015974982614915643,
710
+ "loss": 0.064,
711
+ "step": 990
712
+ },
713
+ {
714
+ "epoch": 0.641925777331996,
715
+ "grad_norm": 0.16869930922985077,
716
+ "learning_rate": 0.00015891300914441803,
717
+ "loss": 0.0526,
718
+ "step": 1000
719
+ },
720
+ {
721
+ "epoch": 0.641925777331996,
722
+ "eval_loss": 0.08326917141675949,
723
+ "eval_runtime": 128.9614,
724
+ "eval_samples_per_second": 10.197,
725
+ "eval_steps_per_second": 10.197,
726
+ "step": 1000
727
+ },
728
+ {
729
+ "epoch": 0.6483450351053159,
730
+ "grad_norm": 0.23396554589271545,
731
+ "learning_rate": 0.00015806982538494065,
732
+ "loss": 0.0624,
733
+ "step": 1010
734
+ },
735
+ {
736
+ "epoch": 0.6547642928786359,
737
+ "grad_norm": 0.13306337594985962,
738
+ "learning_rate": 0.00015722036599396296,
739
+ "loss": 0.084,
740
+ "step": 1020
741
+ },
742
+ {
743
+ "epoch": 0.6611835506519559,
744
+ "grad_norm": 0.14258597791194916,
745
+ "learning_rate": 0.00015636472277293396,
746
+ "loss": 0.0553,
747
+ "step": 1030
748
+ },
749
+ {
750
+ "epoch": 0.6676028084252759,
751
+ "grad_norm": 0.17658811807632446,
752
+ "learning_rate": 0.00015550298819159189,
753
+ "loss": 0.0641,
754
+ "step": 1040
755
+ },
756
+ {
757
+ "epoch": 0.6740220661985958,
758
+ "grad_norm": 0.22399111092090607,
759
+ "learning_rate": 0.0001546352553779709,
760
+ "loss": 0.0798,
761
+ "step": 1050
762
+ },
763
+ {
764
+ "epoch": 0.6804413239719157,
765
+ "grad_norm": 0.25611406564712524,
766
+ "learning_rate": 0.0001537616181083368,
767
+ "loss": 0.062,
768
+ "step": 1060
769
+ },
770
+ {
771
+ "epoch": 0.6868605817452357,
772
+ "grad_norm": 0.21297794580459595,
773
+ "learning_rate": 0.00015288217079705246,
774
+ "loss": 0.0557,
775
+ "step": 1070
776
+ },
777
+ {
778
+ "epoch": 0.6932798395185557,
779
+ "grad_norm": 0.1601909101009369,
780
+ "learning_rate": 0.00015199700848637462,
781
+ "loss": 0.0838,
782
+ "step": 1080
783
+ },
784
+ {
785
+ "epoch": 0.6996990972918756,
786
+ "grad_norm": 0.19593413174152374,
787
+ "learning_rate": 0.00015110622683618243,
788
+ "loss": 0.0578,
789
+ "step": 1090
790
+ },
791
+ {
792
+ "epoch": 0.7061183550651956,
793
+ "grad_norm": 0.3398507237434387,
794
+ "learning_rate": 0.0001502099221136395,
795
+ "loss": 0.0738,
796
+ "step": 1100
797
+ },
798
+ {
799
+ "epoch": 0.7125376128385156,
800
+ "grad_norm": 0.23959602415561676,
801
+ "learning_rate": 0.0001493081911827904,
802
+ "loss": 0.0562,
803
+ "step": 1110
804
+ },
805
+ {
806
+ "epoch": 0.7189568706118356,
807
+ "grad_norm": 0.22912147641181946,
808
+ "learning_rate": 0.00014840113149409233,
809
+ "loss": 0.0708,
810
+ "step": 1120
811
+ },
812
+ {
813
+ "epoch": 0.7253761283851554,
814
+ "grad_norm": 0.1650708019733429,
815
+ "learning_rate": 0.00014748884107388372,
816
+ "loss": 0.0552,
817
+ "step": 1130
818
+ },
819
+ {
820
+ "epoch": 0.7317953861584754,
821
+ "grad_norm": 0.19332996010780334,
822
+ "learning_rate": 0.00014657141851379043,
823
+ "loss": 0.0473,
824
+ "step": 1140
825
+ },
826
+ {
827
+ "epoch": 0.7382146439317954,
828
+ "grad_norm": 0.15983298420906067,
829
+ "learning_rate": 0.00014564896296007088,
830
+ "loss": 0.0465,
831
+ "step": 1150
832
+ },
833
+ {
834
+ "epoch": 0.7446339017051153,
835
+ "grad_norm": 0.16740870475769043,
836
+ "learning_rate": 0.00014472157410290147,
837
+ "loss": 0.0482,
838
+ "step": 1160
839
+ },
840
+ {
841
+ "epoch": 0.7510531594784353,
842
+ "grad_norm": 0.17517174780368805,
843
+ "learning_rate": 0.00014378935216560268,
844
+ "loss": 0.0678,
845
+ "step": 1170
846
+ },
847
+ {
848
+ "epoch": 0.7574724172517553,
849
+ "grad_norm": 0.2131085991859436,
850
+ "learning_rate": 0.00014285239789380824,
851
+ "loss": 0.0436,
852
+ "step": 1180
853
+ },
854
+ {
855
+ "epoch": 0.7638916750250753,
856
+ "grad_norm": 0.17330893874168396,
857
+ "learning_rate": 0.00014191081254457725,
858
+ "loss": 0.0504,
859
+ "step": 1190
860
+ },
861
+ {
862
+ "epoch": 0.7703109327983951,
863
+ "grad_norm": 0.15023717284202576,
864
+ "learning_rate": 0.0001409646978754514,
865
+ "loss": 0.0531,
866
+ "step": 1200
867
+ },
868
+ {
869
+ "epoch": 0.7767301905717151,
870
+ "grad_norm": 0.10652194917201996,
871
+ "learning_rate": 0.00014001415613345793,
872
+ "loss": 0.0468,
873
+ "step": 1210
874
+ },
875
+ {
876
+ "epoch": 0.7831494483450351,
877
+ "grad_norm": 0.11492206156253815,
878
+ "learning_rate": 0.00013905929004405992,
879
+ "loss": 0.0497,
880
+ "step": 1220
881
+ },
882
+ {
883
+ "epoch": 0.7895687061183551,
884
+ "grad_norm": 0.27618470788002014,
885
+ "learning_rate": 0.00013810020280005441,
886
+ "loss": 0.0696,
887
+ "step": 1230
888
+ },
889
+ {
890
+ "epoch": 0.795987963891675,
891
+ "grad_norm": 0.10219205170869827,
892
+ "learning_rate": 0.00013713699805042057,
893
+ "loss": 0.0514,
894
+ "step": 1240
895
+ },
896
+ {
897
+ "epoch": 0.802407221664995,
898
+ "grad_norm": 0.1219983845949173,
899
+ "learning_rate": 0.00013616977988911821,
900
+ "loss": 0.0378,
901
+ "step": 1250
902
+ },
903
+ {
904
+ "epoch": 0.808826479438315,
905
+ "grad_norm": 0.1977282017469406,
906
+ "learning_rate": 0.00013519865284383818,
907
+ "loss": 0.0639,
908
+ "step": 1260
909
+ },
910
+ {
911
+ "epoch": 0.815245737211635,
912
+ "grad_norm": 0.11138994246721268,
913
+ "learning_rate": 0.00013422372186470632,
914
+ "loss": 0.0575,
915
+ "step": 1270
916
+ },
917
+ {
918
+ "epoch": 0.8216649949849548,
919
+ "grad_norm": 0.1591784507036209,
920
+ "learning_rate": 0.00013324509231294108,
921
+ "loss": 0.0399,
922
+ "step": 1280
923
+ },
924
+ {
925
+ "epoch": 0.8280842527582748,
926
+ "grad_norm": 0.12934090197086334,
927
+ "learning_rate": 0.00013226286994946746,
928
+ "loss": 0.0469,
929
+ "step": 1290
930
+ },
931
+ {
932
+ "epoch": 0.8345035105315948,
933
+ "grad_norm": 0.13661682605743408,
934
+ "learning_rate": 0.00013127716092348708,
935
+ "loss": 0.0441,
936
+ "step": 1300
937
+ },
938
+ {
939
+ "epoch": 0.8409227683049147,
940
+ "grad_norm": 0.25683388113975525,
941
+ "learning_rate": 0.0001302880717610067,
942
+ "loss": 0.0644,
943
+ "step": 1310
944
+ },
945
+ {
946
+ "epoch": 0.8473420260782347,
947
+ "grad_norm": 0.14545147120952606,
948
+ "learning_rate": 0.00012929570935332597,
949
+ "loss": 0.0446,
950
+ "step": 1320
951
+ },
952
+ {
953
+ "epoch": 0.8537612838515547,
954
+ "grad_norm": 0.16420190036296844,
955
+ "learning_rate": 0.0001283001809454856,
956
+ "loss": 0.0597,
957
+ "step": 1330
958
+ },
959
+ {
960
+ "epoch": 0.8601805416248747,
961
+ "grad_norm": 0.2332782745361328,
962
+ "learning_rate": 0.00012730159412467726,
963
+ "loss": 0.0435,
964
+ "step": 1340
965
+ },
966
+ {
967
+ "epoch": 0.8665997993981945,
968
+ "grad_norm": 0.09255204349756241,
969
+ "learning_rate": 0.00012630005680861668,
970
+ "loss": 0.0528,
971
+ "step": 1350
972
+ },
973
+ {
974
+ "epoch": 0.8730190571715145,
975
+ "grad_norm": 0.2076631337404251,
976
+ "learning_rate": 0.00012529567723388088,
977
+ "loss": 0.0525,
978
+ "step": 1360
979
+ },
980
+ {
981
+ "epoch": 0.8794383149448345,
982
+ "grad_norm": 0.17183755338191986,
983
+ "learning_rate": 0.0001242885639442111,
984
+ "loss": 0.0435,
985
+ "step": 1370
986
+ },
987
+ {
988
+ "epoch": 0.8858575727181545,
989
+ "grad_norm": 0.1666991412639618,
990
+ "learning_rate": 0.00012327882577878226,
991
+ "loss": 0.0403,
992
+ "step": 1380
993
+ },
994
+ {
995
+ "epoch": 0.8922768304914744,
996
+ "grad_norm": 0.1412462741136551,
997
+ "learning_rate": 0.00012226657186044086,
998
+ "loss": 0.0512,
999
+ "step": 1390
1000
+ },
1001
+ {
1002
+ "epoch": 0.8986960882647944,
1003
+ "grad_norm": 0.13901075720787048,
1004
+ "learning_rate": 0.00012125191158391178,
1005
+ "loss": 0.0311,
1006
+ "step": 1400
1007
+ },
1008
+ {
1009
+ "epoch": 0.9051153460381144,
1010
+ "grad_norm": 0.1401802897453308,
1011
+ "learning_rate": 0.00012023495460397614,
1012
+ "loss": 0.0383,
1013
+ "step": 1410
1014
+ },
1015
+ {
1016
+ "epoch": 0.9115346038114343,
1017
+ "grad_norm": 0.18335814774036407,
1018
+ "learning_rate": 0.00011921581082362092,
1019
+ "loss": 0.0355,
1020
+ "step": 1420
1021
+ },
1022
+ {
1023
+ "epoch": 0.9179538615847542,
1024
+ "grad_norm": 0.1105201244354248,
1025
+ "learning_rate": 0.00011819459038216143,
1026
+ "loss": 0.0433,
1027
+ "step": 1430
1028
+ },
1029
+ {
1030
+ "epoch": 0.9243731193580742,
1031
+ "grad_norm": 0.10848142206668854,
1032
+ "learning_rate": 0.00011717140364333874,
1033
+ "loss": 0.0333,
1034
+ "step": 1440
1035
+ },
1036
+ {
1037
+ "epoch": 0.9307923771313942,
1038
+ "grad_norm": 0.07852191478013992,
1039
+ "learning_rate": 0.00011614636118339249,
1040
+ "loss": 0.0466,
1041
+ "step": 1450
1042
+ },
1043
+ {
1044
+ "epoch": 0.9372116349047142,
1045
+ "grad_norm": 0.16577693819999695,
1046
+ "learning_rate": 0.00011511957377911091,
1047
+ "loss": 0.0533,
1048
+ "step": 1460
1049
+ },
1050
+ {
1051
+ "epoch": 0.9436308926780341,
1052
+ "grad_norm": 0.12513399124145508,
1053
+ "learning_rate": 0.00011409115239585921,
1054
+ "loss": 0.0371,
1055
+ "step": 1470
1056
+ },
1057
+ {
1058
+ "epoch": 0.9500501504513541,
1059
+ "grad_norm": 0.24522411823272705,
1060
+ "learning_rate": 0.00011306120817558736,
1061
+ "loss": 0.0463,
1062
+ "step": 1480
1063
+ },
1064
+ {
1065
+ "epoch": 0.956469408224674,
1066
+ "grad_norm": 0.1543067842721939,
1067
+ "learning_rate": 0.00011202985242481898,
1068
+ "loss": 0.0411,
1069
+ "step": 1490
1070
+ },
1071
+ {
1072
+ "epoch": 0.9628886659979939,
1073
+ "grad_norm": 0.10811112076044083,
1074
+ "learning_rate": 0.00011099719660262243,
1075
+ "loss": 0.043,
1076
+ "step": 1500
1077
+ },
1078
+ {
1079
+ "epoch": 0.9628886659979939,
1080
+ "eval_loss": 0.057985104620456696,
1081
+ "eval_runtime": 128.7458,
1082
+ "eval_samples_per_second": 10.214,
1083
+ "eval_steps_per_second": 10.214,
1084
+ "step": 1500
1085
+ },
1086
+ {
1087
+ "epoch": 0.9693079237713139,
1088
+ "grad_norm": 0.10716786235570908,
1089
+ "learning_rate": 0.00010996335230856538,
1090
+ "loss": 0.034,
1091
+ "step": 1510
1092
+ },
1093
+ {
1094
+ "epoch": 0.9757271815446339,
1095
+ "grad_norm": 0.12667109072208405,
1096
+ "learning_rate": 0.00010892843127065416,
1097
+ "loss": 0.0382,
1098
+ "step": 1520
1099
+ },
1100
+ {
1101
+ "epoch": 0.9821464393179539,
1102
+ "grad_norm": 0.22383131086826324,
1103
+ "learning_rate": 0.00010789254533325929,
1104
+ "loss": 0.0491,
1105
+ "step": 1530
1106
+ },
1107
+ {
1108
+ "epoch": 0.9885656970912738,
1109
+ "grad_norm": 0.09304796904325485,
1110
+ "learning_rate": 0.00010685580644502837,
1111
+ "loss": 0.0354,
1112
+ "step": 1540
1113
+ },
1114
+ {
1115
+ "epoch": 0.9949849548645938,
1116
+ "grad_norm": 0.07743366062641144,
1117
+ "learning_rate": 0.0001058183266467878,
1118
+ "loss": 0.042,
1119
+ "step": 1550
1120
+ },
1121
+ {
1122
+ "epoch": 1.001283851554664,
1123
+ "grad_norm": 0.15325789153575897,
1124
+ "learning_rate": 0.00010478021805943445,
1125
+ "loss": 0.039,
1126
+ "step": 1560
1127
+ },
1128
+ {
1129
+ "epoch": 1.007703109327984,
1130
+ "grad_norm": 0.07142600417137146,
1131
+ "learning_rate": 0.00010374159287181868,
1132
+ "loss": 0.0299,
1133
+ "step": 1570
1134
+ },
1135
+ {
1136
+ "epoch": 1.014122367101304,
1137
+ "grad_norm": 0.07669597119092941,
1138
+ "learning_rate": 0.00010270256332862014,
1139
+ "loss": 0.0301,
1140
+ "step": 1580
1141
+ },
1142
+ {
1143
+ "epoch": 1.020541624874624,
1144
+ "grad_norm": 0.07297486811876297,
1145
+ "learning_rate": 0.00010166324171821721,
1146
+ "loss": 0.0347,
1147
+ "step": 1590
1148
+ },
1149
+ {
1150
+ "epoch": 1.026960882647944,
1151
+ "grad_norm": 0.20420107245445251,
1152
+ "learning_rate": 0.00010062374036055226,
1153
+ "loss": 0.0307,
1154
+ "step": 1600
1155
+ },
1156
+ {
1157
+ "epoch": 1.0333801404212637,
1158
+ "grad_norm": 0.09947313368320465,
1159
+ "learning_rate": 9.958417159499298e-05,
1160
+ "loss": 0.0307,
1161
+ "step": 1610
1162
+ },
1163
+ {
1164
+ "epoch": 1.0397993981945837,
1165
+ "grad_norm": 0.11809804290533066,
1166
+ "learning_rate": 9.85446477681918e-05,
1167
+ "loss": 0.0299,
1168
+ "step": 1620
1169
+ },
1170
+ {
1171
+ "epoch": 1.0462186559679036,
1172
+ "grad_norm": 0.2631526291370392,
1173
+ "learning_rate": 9.750528122194467e-05,
1174
+ "loss": 0.0387,
1175
+ "step": 1630
1176
+ },
1177
+ {
1178
+ "epoch": 1.0526379137412236,
1179
+ "grad_norm": 0.08276328444480896,
1180
+ "learning_rate": 9.646618428105013e-05,
1181
+ "loss": 0.0305,
1182
+ "step": 1640
1183
+ },
1184
+ {
1185
+ "epoch": 1.0590571715145436,
1186
+ "grad_norm": 0.11126093566417694,
1187
+ "learning_rate": 9.542746924117037e-05,
1188
+ "loss": 0.0315,
1189
+ "step": 1650
1190
+ },
1191
+ {
1192
+ "epoch": 1.0654764292878636,
1193
+ "grad_norm": 0.125727117061615,
1194
+ "learning_rate": 9.438924835669532e-05,
1195
+ "loss": 0.0272,
1196
+ "step": 1660
1197
+ },
1198
+ {
1199
+ "epoch": 1.0718956870611835,
1200
+ "grad_norm": 0.13635793328285217,
1201
+ "learning_rate": 9.33516338286114e-05,
1202
+ "loss": 0.0339,
1203
+ "step": 1670
1204
+ },
1205
+ {
1206
+ "epoch": 1.0783149448345035,
1207
+ "grad_norm": 0.1484992802143097,
1208
+ "learning_rate": 9.231473779237579e-05,
1209
+ "loss": 0.0301,
1210
+ "step": 1680
1211
+ },
1212
+ {
1213
+ "epoch": 1.0847342026078235,
1214
+ "grad_norm": 0.12370124459266663,
1215
+ "learning_rate": 9.127867230579788e-05,
1216
+ "loss": 0.0244,
1217
+ "step": 1690
1218
+ },
1219
+ {
1220
+ "epoch": 1.0911534603811435,
1221
+ "grad_norm": 0.11567872017621994,
1222
+ "learning_rate": 9.024354933692935e-05,
1223
+ "loss": 0.0291,
1224
+ "step": 1700
1225
+ },
1226
+ {
1227
+ "epoch": 1.0975727181544634,
1228
+ "grad_norm": 0.09546232968568802,
1229
+ "learning_rate": 8.920948075196332e-05,
1230
+ "loss": 0.0229,
1231
+ "step": 1710
1232
+ },
1233
+ {
1234
+ "epoch": 1.1039919759277834,
1235
+ "grad_norm": 0.05330915004014969,
1236
+ "learning_rate": 8.817657830314546e-05,
1237
+ "loss": 0.029,
1238
+ "step": 1720
1239
+ },
1240
+ {
1241
+ "epoch": 1.1104112337011034,
1242
+ "grad_norm": 0.07367228716611862,
1243
+ "learning_rate": 8.714495361669644e-05,
1244
+ "loss": 0.0316,
1245
+ "step": 1730
1246
+ },
1247
+ {
1248
+ "epoch": 1.1168304914744234,
1249
+ "grad_norm": 0.056328821927309036,
1250
+ "learning_rate": 8.61147181807486e-05,
1251
+ "loss": 0.0256,
1252
+ "step": 1740
1253
+ },
1254
+ {
1255
+ "epoch": 1.1232497492477433,
1256
+ "grad_norm": 0.11536078155040741,
1257
+ "learning_rate": 8.508598333329744e-05,
1258
+ "loss": 0.0234,
1259
+ "step": 1750
1260
+ },
1261
+ {
1262
+ "epoch": 1.129669007021063,
1263
+ "grad_norm": 0.09325211495161057,
1264
+ "learning_rate": 8.405886025016911e-05,
1265
+ "loss": 0.0316,
1266
+ "step": 1760
1267
+ },
1268
+ {
1269
+ "epoch": 1.136088264794383,
1270
+ "grad_norm": 0.06355856359004974,
1271
+ "learning_rate": 8.303345993300575e-05,
1272
+ "loss": 0.0255,
1273
+ "step": 1770
1274
+ },
1275
+ {
1276
+ "epoch": 1.142507522567703,
1277
+ "grad_norm": 0.11567080020904541,
1278
+ "learning_rate": 8.200989319726937e-05,
1279
+ "loss": 0.0253,
1280
+ "step": 1780
1281
+ },
1282
+ {
1283
+ "epoch": 1.148926780341023,
1284
+ "grad_norm": 0.11177469789981842,
1285
+ "learning_rate": 8.098827066026615e-05,
1286
+ "loss": 0.025,
1287
+ "step": 1790
1288
+ },
1289
+ {
1290
+ "epoch": 1.155346038114343,
1291
+ "grad_norm": 0.12497933954000473,
1292
+ "learning_rate": 7.996870272919165e-05,
1293
+ "loss": 0.0274,
1294
+ "step": 1800
1295
+ },
1296
+ {
1297
+ "epoch": 1.161765295887663,
1298
+ "grad_norm": 0.11924732476472855,
1299
+ "learning_rate": 7.895129958919947e-05,
1300
+ "loss": 0.0321,
1301
+ "step": 1810
1302
+ },
1303
+ {
1304
+ "epoch": 1.168184553660983,
1305
+ "grad_norm": 0.08141748607158661,
1306
+ "learning_rate": 7.793617119149319e-05,
1307
+ "loss": 0.0262,
1308
+ "step": 1820
1309
+ },
1310
+ {
1311
+ "epoch": 1.174603811434303,
1312
+ "grad_norm": 0.11012791097164154,
1313
+ "learning_rate": 7.692342724144397e-05,
1314
+ "loss": 0.0226,
1315
+ "step": 1830
1316
+ },
1317
+ {
1318
+ "epoch": 1.181023069207623,
1319
+ "grad_norm": 0.12142367660999298,
1320
+ "learning_rate": 7.59131771867348e-05,
1321
+ "loss": 0.0302,
1322
+ "step": 1840
1323
+ },
1324
+ {
1325
+ "epoch": 1.1874423269809429,
1326
+ "grad_norm": 0.04989106208086014,
1327
+ "learning_rate": 7.490553020553214e-05,
1328
+ "loss": 0.0297,
1329
+ "step": 1850
1330
+ },
1331
+ {
1332
+ "epoch": 1.1938615847542629,
1333
+ "grad_norm": 0.11036371439695358,
1334
+ "learning_rate": 7.390059519468726e-05,
1335
+ "loss": 0.0287,
1336
+ "step": 1860
1337
+ },
1338
+ {
1339
+ "epoch": 1.2002808425275828,
1340
+ "grad_norm": 0.09587734192609787,
1341
+ "learning_rate": 7.289848075796755e-05,
1342
+ "loss": 0.022,
1343
+ "step": 1870
1344
+ },
1345
+ {
1346
+ "epoch": 1.2067001003009028,
1347
+ "grad_norm": 0.1048700138926506,
1348
+ "learning_rate": 7.189929519431982e-05,
1349
+ "loss": 0.0246,
1350
+ "step": 1880
1351
+ },
1352
+ {
1353
+ "epoch": 1.2131193580742226,
1354
+ "grad_norm": 0.1045086681842804,
1355
+ "learning_rate": 7.090314648616607e-05,
1356
+ "loss": 0.0245,
1357
+ "step": 1890
1358
+ },
1359
+ {
1360
+ "epoch": 1.2195386158475428,
1361
+ "grad_norm": 0.08027637004852295,
1362
+ "learning_rate": 6.991014228773421e-05,
1363
+ "loss": 0.027,
1364
+ "step": 1900
1365
+ },
1366
+ {
1367
+ "epoch": 1.2259578736208625,
1368
+ "grad_norm": 0.09890926629304886,
1369
+ "learning_rate": 6.892038991342349e-05,
1370
+ "loss": 0.0266,
1371
+ "step": 1910
1372
+ },
1373
+ {
1374
+ "epoch": 1.2323771313941825,
1375
+ "grad_norm": 0.06575173139572144,
1376
+ "learning_rate": 6.793399632620715e-05,
1377
+ "loss": 0.0232,
1378
+ "step": 1920
1379
+ },
1380
+ {
1381
+ "epoch": 1.2387963891675025,
1382
+ "grad_norm": 0.07365952432155609,
1383
+ "learning_rate": 6.695106812607282e-05,
1384
+ "loss": 0.0222,
1385
+ "step": 1930
1386
+ },
1387
+ {
1388
+ "epoch": 1.2452156469408224,
1389
+ "grad_norm": 0.1399465799331665,
1390
+ "learning_rate": 6.597171153850219e-05,
1391
+ "loss": 0.0239,
1392
+ "step": 1940
1393
+ },
1394
+ {
1395
+ "epoch": 1.2516349047141424,
1396
+ "grad_norm": 0.07138116657733917,
1397
+ "learning_rate": 6.499603240299133e-05,
1398
+ "loss": 0.0261,
1399
+ "step": 1950
1400
+ },
1401
+ {
1402
+ "epoch": 1.2580541624874624,
1403
+ "grad_norm": 0.07462996989488602,
1404
+ "learning_rate": 6.40241361616123e-05,
1405
+ "loss": 0.0263,
1406
+ "step": 1960
1407
+ },
1408
+ {
1409
+ "epoch": 1.2644734202607824,
1410
+ "grad_norm": 0.06026960164308548,
1411
+ "learning_rate": 6.305612784761823e-05,
1412
+ "loss": 0.0286,
1413
+ "step": 1970
1414
+ },
1415
+ {
1416
+ "epoch": 1.2708926780341023,
1417
+ "grad_norm": 0.04298267886042595,
1418
+ "learning_rate": 6.209211207409225e-05,
1419
+ "loss": 0.0255,
1420
+ "step": 1980
1421
+ },
1422
+ {
1423
+ "epoch": 1.2773119358074223,
1424
+ "grad_norm": 0.053071849048137665,
1425
+ "learning_rate": 6.113219302264174e-05,
1426
+ "loss": 0.0217,
1427
+ "step": 1990
1428
+ },
1429
+ {
1430
+ "epoch": 1.2837311935807423,
1431
+ "grad_norm": 0.05462060496211052,
1432
+ "learning_rate": 6.017647443213974e-05,
1433
+ "loss": 0.0246,
1434
+ "step": 2000
1435
+ },
1436
+ {
1437
+ "epoch": 1.2837311935807423,
1438
+ "eval_loss": 0.046459589153528214,
1439
+ "eval_runtime": 128.8944,
1440
+ "eval_samples_per_second": 10.202,
1441
+ "eval_steps_per_second": 10.202,
1442
+ "step": 2000
1443
+ },
1444
+ {
1445
+ "epoch": 1.2901504513540623,
1446
+ "grad_norm": 0.052726052701473236,
1447
+ "learning_rate": 5.9225059587513454e-05,
1448
+ "loss": 0.0227,
1449
+ "step": 2010
1450
+ },
1451
+ {
1452
+ "epoch": 1.296569709127382,
1453
+ "grad_norm": 0.05038246139883995,
1454
+ "learning_rate": 5.8278051308582505e-05,
1455
+ "loss": 0.0273,
1456
+ "step": 2020
1457
+ },
1458
+ {
1459
+ "epoch": 1.3029889669007022,
1460
+ "grad_norm": 0.09061837941408157,
1461
+ "learning_rate": 5.733555193894695e-05,
1462
+ "loss": 0.0296,
1463
+ "step": 2030
1464
+ },
1465
+ {
1466
+ "epoch": 1.309408224674022,
1467
+ "grad_norm": 0.11903833597898483,
1468
+ "learning_rate": 5.6397663334927096e-05,
1469
+ "loss": 0.0309,
1470
+ "step": 2040
1471
+ },
1472
+ {
1473
+ "epoch": 1.3158274824473422,
1474
+ "grad_norm": 0.05378040671348572,
1475
+ "learning_rate": 5.5464486854555744e-05,
1476
+ "loss": 0.0236,
1477
+ "step": 2050
1478
+ },
1479
+ {
1480
+ "epoch": 1.322246740220662,
1481
+ "grad_norm": 0.049429334700107574,
1482
+ "learning_rate": 5.453612334662446e-05,
1483
+ "loss": 0.0248,
1484
+ "step": 2060
1485
+ },
1486
+ {
1487
+ "epoch": 1.3286659979939819,
1488
+ "grad_norm": 0.0931214764714241,
1489
+ "learning_rate": 5.361267313978472e-05,
1490
+ "loss": 0.0319,
1491
+ "step": 2070
1492
+ },
1493
+ {
1494
+ "epoch": 1.3350852557673019,
1495
+ "grad_norm": 0.0589577853679657,
1496
+ "learning_rate": 5.2694236031705446e-05,
1497
+ "loss": 0.0253,
1498
+ "step": 2080
1499
+ },
1500
+ {
1501
+ "epoch": 1.3415045135406218,
1502
+ "grad_norm": 0.10711564123630524,
1503
+ "learning_rate": 5.178091127828777e-05,
1504
+ "loss": 0.0283,
1505
+ "step": 2090
1506
+ },
1507
+ {
1508
+ "epoch": 1.3479237713139418,
1509
+ "grad_norm": 0.0872858390212059,
1510
+ "learning_rate": 5.087279758293837e-05,
1511
+ "loss": 0.0237,
1512
+ "step": 2100
1513
+ },
1514
+ {
1515
+ "epoch": 1.3543430290872618,
1516
+ "grad_norm": 0.05081092566251755,
1517
+ "learning_rate": 4.996999308590266e-05,
1518
+ "loss": 0.0246,
1519
+ "step": 2110
1520
+ },
1521
+ {
1522
+ "epoch": 1.3607622868605818,
1523
+ "grad_norm": 0.06178516149520874,
1524
+ "learning_rate": 4.907259535365859e-05,
1525
+ "loss": 0.0238,
1526
+ "step": 2120
1527
+ },
1528
+ {
1529
+ "epoch": 1.3671815446339017,
1530
+ "grad_norm": 0.054508257657289505,
1531
+ "learning_rate": 4.818070136837275e-05,
1532
+ "loss": 0.0209,
1533
+ "step": 2130
1534
+ },
1535
+ {
1536
+ "epoch": 1.3736008024072217,
1537
+ "grad_norm": 0.1331976354122162,
1538
+ "learning_rate": 4.72944075174193e-05,
1539
+ "loss": 0.022,
1540
+ "step": 2140
1541
+ },
1542
+ {
1543
+ "epoch": 1.3800200601805417,
1544
+ "grad_norm": 0.06243107095360756,
1545
+ "learning_rate": 4.6413809582963484e-05,
1546
+ "loss": 0.0172,
1547
+ "step": 2150
1548
+ },
1549
+ {
1550
+ "epoch": 1.3864393179538617,
1551
+ "grad_norm": 0.08247397094964981,
1552
+ "learning_rate": 4.553900273161036e-05,
1553
+ "loss": 0.0213,
1554
+ "step": 2160
1555
+ },
1556
+ {
1557
+ "epoch": 1.3928585757271814,
1558
+ "grad_norm": 0.06733040511608124,
1559
+ "learning_rate": 4.467008150412e-05,
1560
+ "loss": 0.0247,
1561
+ "step": 2170
1562
+ },
1563
+ {
1564
+ "epoch": 1.3992778335005016,
1565
+ "grad_norm": 0.05423252657055855,
1566
+ "learning_rate": 4.3807139805190613e-05,
1567
+ "loss": 0.0247,
1568
+ "step": 2180
1569
+ },
1570
+ {
1571
+ "epoch": 1.4056970912738214,
1572
+ "grad_norm": 0.10230846703052521,
1573
+ "learning_rate": 4.295027089331013e-05,
1574
+ "loss": 0.0212,
1575
+ "step": 2190
1576
+ },
1577
+ {
1578
+ "epoch": 1.4121163490471416,
1579
+ "grad_norm": 0.05248994752764702,
1580
+ "learning_rate": 4.2099567370677687e-05,
1581
+ "loss": 0.0177,
1582
+ "step": 2200
1583
+ },
1584
+ {
1585
+ "epoch": 1.4185356068204613,
1586
+ "grad_norm": 0.07035645842552185,
1587
+ "learning_rate": 4.125512117319612e-05,
1588
+ "loss": 0.021,
1589
+ "step": 2210
1590
+ },
1591
+ {
1592
+ "epoch": 1.4249548645937813,
1593
+ "grad_norm": 0.10099633783102036,
1594
+ "learning_rate": 4.041702356053639e-05,
1595
+ "loss": 0.0212,
1596
+ "step": 2220
1597
+ },
1598
+ {
1599
+ "epoch": 1.4313741223671013,
1600
+ "grad_norm": 0.13029153645038605,
1601
+ "learning_rate": 3.958536510627511e-05,
1602
+ "loss": 0.0191,
1603
+ "step": 2230
1604
+ },
1605
+ {
1606
+ "epoch": 1.4377933801404212,
1607
+ "grad_norm": 0.06044310703873634,
1608
+ "learning_rate": 3.876023568810622e-05,
1609
+ "loss": 0.0205,
1610
+ "step": 2240
1611
+ },
1612
+ {
1613
+ "epoch": 1.4442126379137412,
1614
+ "grad_norm": 0.07602677494287491,
1615
+ "learning_rate": 3.794172447812785e-05,
1616
+ "loss": 0.0184,
1617
+ "step": 2250
1618
+ },
1619
+ {
1620
+ "epoch": 1.4506318956870612,
1621
+ "grad_norm": 0.08735393732786179,
1622
+ "learning_rate": 3.7129919933205536e-05,
1623
+ "loss": 0.0251,
1624
+ "step": 2260
1625
+ },
1626
+ {
1627
+ "epoch": 1.4570511534603812,
1628
+ "grad_norm": 0.04306063801050186,
1629
+ "learning_rate": 3.6324909785412445e-05,
1630
+ "loss": 0.0183,
1631
+ "step": 2270
1632
+ },
1633
+ {
1634
+ "epoch": 1.4634704112337011,
1635
+ "grad_norm": 0.05602416768670082,
1636
+ "learning_rate": 3.552678103254838e-05,
1637
+ "loss": 0.0229,
1638
+ "step": 2280
1639
+ },
1640
+ {
1641
+ "epoch": 1.4698896690070211,
1642
+ "grad_norm": 0.09133511781692505,
1643
+ "learning_rate": 3.4735619928737764e-05,
1644
+ "loss": 0.0211,
1645
+ "step": 2290
1646
+ },
1647
+ {
1648
+ "epoch": 1.476308926780341,
1649
+ "grad_norm": 0.10781540721654892,
1650
+ "learning_rate": 3.395151197510804e-05,
1651
+ "loss": 0.0198,
1652
+ "step": 2300
1653
+ },
1654
+ {
1655
+ "epoch": 1.482728184553661,
1656
+ "grad_norm": 0.06286901980638504,
1657
+ "learning_rate": 3.3174541910549784e-05,
1658
+ "loss": 0.0221,
1659
+ "step": 2310
1660
+ },
1661
+ {
1662
+ "epoch": 1.4891474423269808,
1663
+ "grad_norm": 0.046533193439245224,
1664
+ "learning_rate": 3.2404793702558636e-05,
1665
+ "loss": 0.0188,
1666
+ "step": 2320
1667
+ },
1668
+ {
1669
+ "epoch": 1.495566700100301,
1670
+ "grad_norm": 0.034077636897563934,
1671
+ "learning_rate": 3.1642350538161045e-05,
1672
+ "loss": 0.017,
1673
+ "step": 2330
1674
+ },
1675
+ {
1676
+ "epoch": 1.5019859578736208,
1677
+ "grad_norm": 0.053730156272649765,
1678
+ "learning_rate": 3.088729481492424e-05,
1679
+ "loss": 0.0204,
1680
+ "step": 2340
1681
+ },
1682
+ {
1683
+ "epoch": 1.508405215646941,
1684
+ "grad_norm": 0.060676686465740204,
1685
+ "learning_rate": 3.0139708132051424e-05,
1686
+ "loss": 0.0201,
1687
+ "step": 2350
1688
+ },
1689
+ {
1690
+ "epoch": 1.5148244734202607,
1691
+ "grad_norm": 0.09910279512405396,
1692
+ "learning_rate": 2.939967128156328e-05,
1693
+ "loss": 0.0173,
1694
+ "step": 2360
1695
+ },
1696
+ {
1697
+ "epoch": 1.5212437311935807,
1698
+ "grad_norm": 0.0654776319861412,
1699
+ "learning_rate": 2.866726423956687e-05,
1700
+ "loss": 0.0233,
1701
+ "step": 2370
1702
+ },
1703
+ {
1704
+ "epoch": 1.5276629889669007,
1705
+ "grad_norm": 0.08738186955451965,
1706
+ "learning_rate": 2.794256615761247e-05,
1707
+ "loss": 0.0212,
1708
+ "step": 2380
1709
+ },
1710
+ {
1711
+ "epoch": 1.5340822467402206,
1712
+ "grad_norm": 0.12039466947317123,
1713
+ "learning_rate": 2.7225655354139677e-05,
1714
+ "loss": 0.0193,
1715
+ "step": 2390
1716
+ },
1717
+ {
1718
+ "epoch": 1.5405015045135406,
1719
+ "grad_norm": 0.12398708611726761,
1720
+ "learning_rate": 2.6516609306013462e-05,
1721
+ "loss": 0.024,
1722
+ "step": 2400
1723
+ },
1724
+ {
1725
+ "epoch": 1.5469207622868606,
1726
+ "grad_norm": 0.09554693102836609,
1727
+ "learning_rate": 2.5815504640151267e-05,
1728
+ "loss": 0.0195,
1729
+ "step": 2410
1730
+ },
1731
+ {
1732
+ "epoch": 1.5533400200601806,
1733
+ "grad_norm": 0.26604852080345154,
1734
+ "learning_rate": 2.512241712524185e-05,
1735
+ "loss": 0.0277,
1736
+ "step": 2420
1737
+ },
1738
+ {
1739
+ "epoch": 1.5597592778335005,
1740
+ "grad_norm": 0.08400601893663406,
1741
+ "learning_rate": 2.443742166355695e-05,
1742
+ "loss": 0.0267,
1743
+ "step": 2430
1744
+ },
1745
+ {
1746
+ "epoch": 1.5661785356068205,
1747
+ "grad_norm": 0.062076788395643234,
1748
+ "learning_rate": 2.3760592282856565e-05,
1749
+ "loss": 0.0209,
1750
+ "step": 2440
1751
+ },
1752
+ {
1753
+ "epoch": 1.5725977933801403,
1754
+ "grad_norm": 0.10021471977233887,
1755
+ "learning_rate": 2.309200212838878e-05,
1756
+ "loss": 0.0225,
1757
+ "step": 2450
1758
+ },
1759
+ {
1760
+ "epoch": 1.5790170511534605,
1761
+ "grad_norm": 0.06898768991231918,
1762
+ "learning_rate": 2.2431723454984778e-05,
1763
+ "loss": 0.0175,
1764
+ "step": 2460
1765
+ },
1766
+ {
1767
+ "epoch": 1.5854363089267802,
1768
+ "grad_norm": 0.06565247476100922,
1769
+ "learning_rate": 2.1779827619250458e-05,
1770
+ "loss": 0.019,
1771
+ "step": 2470
1772
+ },
1773
+ {
1774
+ "epoch": 1.5918555667001004,
1775
+ "grad_norm": 0.10120698809623718,
1776
+ "learning_rate": 2.1136385071854715e-05,
1777
+ "loss": 0.0214,
1778
+ "step": 2480
1779
+ },
1780
+ {
1781
+ "epoch": 1.5982748244734202,
1782
+ "grad_norm": 0.03913561999797821,
1783
+ "learning_rate": 2.050146534991587e-05,
1784
+ "loss": 0.0214,
1785
+ "step": 2490
1786
+ },
1787
+ {
1788
+ "epoch": 1.6046940822467404,
1789
+ "grad_norm": 0.07003747671842575,
1790
+ "learning_rate": 1.987513706948678e-05,
1791
+ "loss": 0.0175,
1792
+ "step": 2500
1793
+ },
1794
+ {
1795
+ "epoch": 1.6046940822467404,
1796
+ "eval_loss": 0.04088287055492401,
1797
+ "eval_runtime": 129.5987,
1798
+ "eval_samples_per_second": 10.147,
1799
+ "eval_steps_per_second": 10.147,
1800
+ "step": 2500
1801
+ },
1802
+ {
1803
+ "epoch": 1.6111133400200601,
1804
+ "grad_norm": 0.06662087887525558,
1805
+ "learning_rate": 1.9257467918139428e-05,
1806
+ "loss": 0.0212,
1807
+ "step": 2510
1808
+ },
1809
+ {
1810
+ "epoch": 1.61753259779338,
1811
+ "grad_norm": 0.10407735407352448,
1812
+ "learning_rate": 1.8648524647649925e-05,
1813
+ "loss": 0.0227,
1814
+ "step": 2520
1815
+ },
1816
+ {
1817
+ "epoch": 1.6239518555667,
1818
+ "grad_norm": 0.048161495476961136,
1819
+ "learning_rate": 1.8048373066784575e-05,
1820
+ "loss": 0.0193,
1821
+ "step": 2530
1822
+ },
1823
+ {
1824
+ "epoch": 1.63037111334002,
1825
+ "grad_norm": 0.04323771968483925,
1826
+ "learning_rate": 1.7457078034188068e-05,
1827
+ "loss": 0.0184,
1828
+ "step": 2540
1829
+ },
1830
+ {
1831
+ "epoch": 1.63679037111334,
1832
+ "grad_norm": 0.030361974611878395,
1833
+ "learning_rate": 1.687470345137383e-05,
1834
+ "loss": 0.0161,
1835
+ "step": 2550
1836
+ },
1837
+ {
1838
+ "epoch": 1.64320962888666,
1839
+ "grad_norm": 0.064698725938797,
1840
+ "learning_rate": 1.63013122558185e-05,
1841
+ "loss": 0.0218,
1842
+ "step": 2560
1843
+ },
1844
+ {
1845
+ "epoch": 1.64962888665998,
1846
+ "grad_norm": 0.04122168570756912,
1847
+ "learning_rate": 1.5736966414160103e-05,
1848
+ "loss": 0.0205,
1849
+ "step": 2570
1850
+ },
1851
+ {
1852
+ "epoch": 1.6560481444333,
1853
+ "grad_norm": 0.0699082463979721,
1854
+ "learning_rate": 1.5181726915501272e-05,
1855
+ "loss": 0.0228,
1856
+ "step": 2580
1857
+ },
1858
+ {
1859
+ "epoch": 1.66246740220662,
1860
+ "grad_norm": 0.08534803241491318,
1861
+ "learning_rate": 1.4635653764818169e-05,
1862
+ "loss": 0.0203,
1863
+ "step": 2590
1864
+ },
1865
+ {
1866
+ "epoch": 1.6688866599799397,
1867
+ "grad_norm": 0.04532073438167572,
1868
+ "learning_rate": 1.4098805976475704e-05,
1869
+ "loss": 0.0219,
1870
+ "step": 2600
1871
+ },
1872
+ {
1873
+ "epoch": 1.6753059177532599,
1874
+ "grad_norm": 0.06504928320646286,
1875
+ "learning_rate": 1.3571241567849856e-05,
1876
+ "loss": 0.0166,
1877
+ "step": 2610
1878
+ },
1879
+ {
1880
+ "epoch": 1.6817251755265796,
1881
+ "grad_norm": 0.1507658064365387,
1882
+ "learning_rate": 1.3053017553057656e-05,
1883
+ "loss": 0.0217,
1884
+ "step": 2620
1885
+ },
1886
+ {
1887
+ "epoch": 1.6881444332998998,
1888
+ "grad_norm": 0.05026421695947647,
1889
+ "learning_rate": 1.2544189936795715e-05,
1890
+ "loss": 0.0174,
1891
+ "step": 2630
1892
+ },
1893
+ {
1894
+ "epoch": 1.6945636910732196,
1895
+ "grad_norm": 0.07838805764913559,
1896
+ "learning_rate": 1.204481370828765e-05,
1897
+ "loss": 0.0188,
1898
+ "step": 2640
1899
+ },
1900
+ {
1901
+ "epoch": 1.7009829488465398,
1902
+ "grad_norm": 0.03739321231842041,
1903
+ "learning_rate": 1.1554942835341565e-05,
1904
+ "loss": 0.0162,
1905
+ "step": 2650
1906
+ },
1907
+ {
1908
+ "epoch": 1.7074022066198595,
1909
+ "grad_norm": 0.07961956411600113,
1910
+ "learning_rate": 1.1074630258517538e-05,
1911
+ "loss": 0.0186,
1912
+ "step": 2660
1913
+ },
1914
+ {
1915
+ "epoch": 1.7138214643931795,
1916
+ "grad_norm": 0.047265585511922836,
1917
+ "learning_rate": 1.0603927885406451e-05,
1918
+ "loss": 0.0211,
1919
+ "step": 2670
1920
+ },
1921
+ {
1922
+ "epoch": 1.7202407221664995,
1923
+ "grad_norm": 0.08342643082141876,
1924
+ "learning_rate": 1.0142886585020218e-05,
1925
+ "loss": 0.0197,
1926
+ "step": 2680
1927
+ },
1928
+ {
1929
+ "epoch": 1.7266599799398195,
1930
+ "grad_norm": 0.0401916429400444,
1931
+ "learning_rate": 9.691556182294392e-06,
1932
+ "loss": 0.0184,
1933
+ "step": 2690
1934
+ },
1935
+ {
1936
+ "epoch": 1.7330792377131394,
1937
+ "grad_norm": 0.10155277699232101,
1938
+ "learning_rate": 9.249985452703557e-06,
1939
+ "loss": 0.0199,
1940
+ "step": 2700
1941
+ },
1942
+ {
1943
+ "epoch": 1.7394984954864594,
1944
+ "grad_norm": 0.048305802047252655,
1945
+ "learning_rate": 8.81822211699016e-06,
1946
+ "loss": 0.0184,
1947
+ "step": 2710
1948
+ },
1949
+ {
1950
+ "epoch": 1.7459177532597794,
1951
+ "grad_norm": 0.055666640400886536,
1952
+ "learning_rate": 8.396312836007259e-06,
1953
+ "loss": 0.018,
1954
+ "step": 2720
1955
+ },
1956
+ {
1957
+ "epoch": 1.7523370110330991,
1958
+ "grad_norm": 0.08541178703308105,
1959
+ "learning_rate": 7.984303205675924e-06,
1960
+ "loss": 0.0233,
1961
+ "step": 2730
1962
+ },
1963
+ {
1964
+ "epoch": 1.7587562688064193,
1965
+ "grad_norm": 0.07454168796539307,
1966
+ "learning_rate": 7.582237752057608e-06,
1967
+ "loss": 0.0207,
1968
+ "step": 2740
1969
+ },
1970
+ {
1971
+ "epoch": 1.765175526579739,
1972
+ "grad_norm": 0.04274304583668709,
1973
+ "learning_rate": 7.19015992654225e-06,
1974
+ "loss": 0.0207,
1975
+ "step": 2750
1976
+ },
1977
+ {
1978
+ "epoch": 1.7715947843530593,
1979
+ "grad_norm": 0.03931812569499016,
1980
+ "learning_rate": 6.808112101152419e-06,
1981
+ "loss": 0.0187,
1982
+ "step": 2760
1983
+ },
1984
+ {
1985
+ "epoch": 1.778014042126379,
1986
+ "grad_norm": 0.04860474541783333,
1987
+ "learning_rate": 6.436135563964196e-06,
1988
+ "loss": 0.0208,
1989
+ "step": 2770
1990
+ },
1991
+ {
1992
+ "epoch": 1.7844332998996992,
1993
+ "grad_norm": 0.05222581326961517,
1994
+ "learning_rate": 6.074270514645109e-06,
1995
+ "loss": 0.0241,
1996
+ "step": 2780
1997
+ },
1998
+ {
1999
+ "epoch": 1.790852557673019,
2000
+ "grad_norm": 0.07665343582630157,
2001
+ "learning_rate": 5.722556060109751e-06,
2002
+ "loss": 0.0232,
2003
+ "step": 2790
2004
+ },
2005
+ {
2006
+ "epoch": 1.7972718154463392,
2007
+ "grad_norm": 0.05370553582906723,
2008
+ "learning_rate": 5.381030210293503e-06,
2009
+ "loss": 0.0158,
2010
+ "step": 2800
2011
+ },
2012
+ {
2013
+ "epoch": 1.803691073219659,
2014
+ "grad_norm": 0.036142729222774506,
2015
+ "learning_rate": 5.049729874044762e-06,
2016
+ "loss": 0.0172,
2017
+ "step": 2810
2018
+ },
2019
+ {
2020
+ "epoch": 1.810110330992979,
2021
+ "grad_norm": 0.03157337009906769,
2022
+ "learning_rate": 4.7286908551361755e-06,
2023
+ "loss": 0.0181,
2024
+ "step": 2820
2025
+ },
2026
+ {
2027
+ "epoch": 1.8165295887662989,
2028
+ "grad_norm": 0.04949560761451721,
2029
+ "learning_rate": 4.417947848395332e-06,
2030
+ "loss": 0.0189,
2031
+ "step": 2830
2032
+ },
2033
+ {
2034
+ "epoch": 1.8229488465396189,
2035
+ "grad_norm": 0.07635015994310379,
2036
+ "learning_rate": 4.117534435955261e-06,
2037
+ "loss": 0.0214,
2038
+ "step": 2840
2039
+ },
2040
+ {
2041
+ "epoch": 1.8293681043129388,
2042
+ "grad_norm": 0.028284436091780663,
2043
+ "learning_rate": 3.827483083625238e-06,
2044
+ "loss": 0.0202,
2045
+ "step": 2850
2046
+ },
2047
+ {
2048
+ "epoch": 1.8357873620862588,
2049
+ "grad_norm": 0.07148082554340363,
2050
+ "learning_rate": 3.5478251373821103e-06,
2051
+ "loss": 0.0189,
2052
+ "step": 2860
2053
+ },
2054
+ {
2055
+ "epoch": 1.8422066198595788,
2056
+ "grad_norm": 0.03399994224309921,
2057
+ "learning_rate": 3.2785908199828073e-06,
2058
+ "loss": 0.0148,
2059
+ "step": 2870
2060
+ },
2061
+ {
2062
+ "epoch": 1.8486258776328985,
2063
+ "grad_norm": 0.05979405716061592,
2064
+ "learning_rate": 3.0198092276981004e-06,
2065
+ "loss": 0.0191,
2066
+ "step": 2880
2067
+ },
2068
+ {
2069
+ "epoch": 1.8550451354062187,
2070
+ "grad_norm": 0.03924340382218361,
2071
+ "learning_rate": 2.7715083271681706e-06,
2072
+ "loss": 0.02,
2073
+ "step": 2890
2074
+ },
2075
+ {
2076
+ "epoch": 1.8614643931795385,
2077
+ "grad_norm": 0.05604667589068413,
2078
+ "learning_rate": 2.5337149523802615e-06,
2079
+ "loss": 0.0198,
2080
+ "step": 2900
2081
+ },
2082
+ {
2083
+ "epoch": 1.8678836509528587,
2084
+ "grad_norm": 0.050481703132390976,
2085
+ "learning_rate": 2.306454801768676e-06,
2086
+ "loss": 0.0183,
2087
+ "step": 2910
2088
+ },
2089
+ {
2090
+ "epoch": 1.8743029087261784,
2091
+ "grad_norm": 0.05771298334002495,
2092
+ "learning_rate": 2.0897524354375753e-06,
2093
+ "loss": 0.0212,
2094
+ "step": 2920
2095
+ },
2096
+ {
2097
+ "epoch": 1.8807221664994986,
2098
+ "grad_norm": 0.05019890144467354,
2099
+ "learning_rate": 1.8836312725067474e-06,
2100
+ "loss": 0.0162,
2101
+ "step": 2930
2102
+ },
2103
+ {
2104
+ "epoch": 1.8871414242728184,
2105
+ "grad_norm": 0.08003148436546326,
2106
+ "learning_rate": 1.6881135885806753e-06,
2107
+ "loss": 0.0251,
2108
+ "step": 2940
2109
+ },
2110
+ {
2111
+ "epoch": 1.8935606820461384,
2112
+ "grad_norm": 0.04569955915212631,
2113
+ "learning_rate": 1.5032205133412192e-06,
2114
+ "loss": 0.0184,
2115
+ "step": 2950
2116
+ },
2117
+ {
2118
+ "epoch": 1.8999799398194583,
2119
+ "grad_norm": 0.02558874897658825,
2120
+ "learning_rate": 1.3289720282641306e-06,
2121
+ "loss": 0.0194,
2122
+ "step": 2960
2123
+ },
2124
+ {
2125
+ "epoch": 1.9063991975927783,
2126
+ "grad_norm": 0.03270651400089264,
2127
+ "learning_rate": 1.1653869644596027e-06,
2128
+ "loss": 0.0178,
2129
+ "step": 2970
2130
+ },
2131
+ {
2132
+ "epoch": 1.9128184553660983,
2133
+ "grad_norm": 0.041952360421419144,
2134
+ "learning_rate": 1.0124830006372432e-06,
2135
+ "loss": 0.0226,
2136
+ "step": 2980
2137
+ },
2138
+ {
2139
+ "epoch": 1.9192377131394183,
2140
+ "grad_norm": 0.02816896326839924,
2141
+ "learning_rate": 8.702766611954793e-07,
2142
+ "loss": 0.0154,
2143
+ "step": 2990
2144
+ },
2145
+ {
2146
+ "epoch": 1.9256569709127382,
2147
+ "grad_norm": 0.04016564413905144,
2148
+ "learning_rate": 7.387833144358092e-07,
2149
+ "loss": 0.0181,
2150
+ "step": 3000
2151
+ },
2152
+ {
2153
+ "epoch": 1.9256569709127382,
2154
+ "eval_loss": 0.03883149474859238,
2155
+ "eval_runtime": 128.8321,
2156
+ "eval_samples_per_second": 10.207,
2157
+ "eval_steps_per_second": 10.207,
2158
+ "step": 3000
2159
+ }
2160
+ ],
2161
+ "logging_steps": 10,
2162
+ "max_steps": 3116,
2163
+ "num_input_tokens_seen": 0,
2164
+ "num_train_epochs": 2,
2165
+ "save_steps": 500,
2166
+ "stateful_callbacks": {
2167
+ "TrainerControl": {
2168
+ "args": {
2169
+ "should_epoch_stop": false,
2170
+ "should_evaluate": false,
2171
+ "should_log": false,
2172
+ "should_save": true,
2173
+ "should_training_stop": false
2174
+ },
2175
+ "attributes": {}
2176
+ }
2177
+ },
2178
+ "total_flos": 1.6478518696874035e+18,
2179
+ "train_batch_size": 1,
2180
+ "trial_name": null,
2181
+ "trial_params": null
2182
+ }
checkpoint-3000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cac3f796d8e8ed78082f710e5c9ee0db63889906ddeefcc55981584c04b6c12
3
+ size 5624
checkpoint-3000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3116/README.md ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-7B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
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 0.19.1
checkpoint-3116/adapter_config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 128,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "qalora_group_size": 16,
29
+ "r": 64,
30
+ "rank_pattern": {},
31
+ "revision": null,
32
+ "target_modules": [
33
+ "up_proj",
34
+ "k_proj",
35
+ "o_proj",
36
+ "v_proj",
37
+ "gate_proj",
38
+ "down_proj",
39
+ "q_proj"
40
+ ],
41
+ "target_parameters": null,
42
+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
44
+ "use_bdlora": null,
45
+ "use_dora": false,
46
+ "use_qalora": false,
47
+ "use_rslora": false
48
+ }
checkpoint-3116/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a6ac0c24d4ae2eeeef86c40ba44bcc16cf0bba031ca3b75c17802bafa947cb3
3
+ size 645975704
checkpoint-3116/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-3116/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoint-3116/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3116/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88efef1f9b42e1291da293392129540a53087aa78784b22383e02cc46618f309
3
+ size 1292176234
checkpoint-3116/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:853400c18a635fcb248ef40716998b342a6d8224df37eb5ad963cdbec4381fe5
3
+ size 14244
checkpoint-3116/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfd4763d7357a39af659f1aa296cd5d56ccf4acbcffe350d544c7adf4bfb60a3
3
+ size 1064
checkpoint-3116/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-3116/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83396048d512ec1f3178af0d7c1f79a226bba041822614b0e26a4fd2d4b55bf7
3
+ size 11421995
checkpoint-3116/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 32768,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
checkpoint-3116/trainer_state.json ADDED
@@ -0,0 +1,2259 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 3000,
3
+ "best_metric": 0.03883149474859238,
4
+ "best_model_checkpoint": "./checkpoints/checkpoint-3000",
5
+ "epoch": 2.0,
6
+ "eval_steps": 500,
7
+ "global_step": 3116,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0064192577733199595,
14
+ "grad_norm": 0.734896719455719,
15
+ "learning_rate": 1.9148936170212766e-05,
16
+ "loss": 1.2808,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.012838515546639919,
21
+ "grad_norm": 0.5790244340896606,
22
+ "learning_rate": 4.0425531914893614e-05,
23
+ "loss": 1.065,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01925777331995988,
28
+ "grad_norm": 0.20778240263462067,
29
+ "learning_rate": 6.170212765957447e-05,
30
+ "loss": 0.6486,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.025677031093279838,
35
+ "grad_norm": 0.17519450187683105,
36
+ "learning_rate": 8.297872340425533e-05,
37
+ "loss": 0.559,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.0320962888665998,
42
+ "grad_norm": 0.2367718517780304,
43
+ "learning_rate": 0.00010425531914893618,
44
+ "loss": 0.4906,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.03851554663991976,
49
+ "grad_norm": 0.24615059792995453,
50
+ "learning_rate": 0.00012553191489361702,
51
+ "loss": 0.4413,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.04493480441323972,
56
+ "grad_norm": 0.22158223390579224,
57
+ "learning_rate": 0.00014680851063829788,
58
+ "loss": 0.386,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.051354062186559676,
63
+ "grad_norm": 0.18299002945423126,
64
+ "learning_rate": 0.00016808510638297873,
65
+ "loss": 0.37,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.05777331995987964,
70
+ "grad_norm": 0.483330100774765,
71
+ "learning_rate": 0.00018936170212765957,
72
+ "loss": 0.408,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.0641925777331996,
77
+ "grad_norm": 0.36728036403656006,
78
+ "learning_rate": 0.00019999864911039267,
79
+ "loss": 0.3986,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.07061183550651956,
84
+ "grad_norm": 0.23549625277519226,
85
+ "learning_rate": 0.00019998784221252132,
86
+ "loss": 0.3367,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.07703109327983952,
91
+ "grad_norm": 0.2653771936893463,
92
+ "learning_rate": 0.0001999662295846848,
93
+ "loss": 0.3457,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.08345035105315948,
98
+ "grad_norm": 0.21738414466381073,
99
+ "learning_rate": 0.0001999338135625693,
100
+ "loss": 0.3075,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.08986960882647944,
105
+ "grad_norm": 0.2068450152873993,
106
+ "learning_rate": 0.00019989059764938857,
107
+ "loss": 0.3423,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.09628886659979939,
112
+ "grad_norm": 0.24901063740253448,
113
+ "learning_rate": 0.00019983658651550522,
114
+ "loss": 0.2767,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.10270812437311935,
119
+ "grad_norm": 0.34664201736450195,
120
+ "learning_rate": 0.00019977178599792623,
121
+ "loss": 0.297,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.10912738214643931,
126
+ "grad_norm": 0.29314759373664856,
127
+ "learning_rate": 0.00019969620309967198,
128
+ "loss": 0.2975,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.11554663991975928,
133
+ "grad_norm": 0.3220290541648865,
134
+ "learning_rate": 0.0001996098459890194,
135
+ "loss": 0.2717,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.12196589769307924,
140
+ "grad_norm": 0.26825714111328125,
141
+ "learning_rate": 0.00019951272399861938,
142
+ "loss": 0.262,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1283851554663992,
147
+ "grad_norm": 0.2678840458393097,
148
+ "learning_rate": 0.00019940484762448794,
149
+ "loss": 0.2439,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.13480441323971915,
154
+ "grad_norm": 0.26287031173706055,
155
+ "learning_rate": 0.00019928622852487216,
156
+ "loss": 0.2463,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.14122367101303912,
161
+ "grad_norm": 0.2625996172428131,
162
+ "learning_rate": 0.00019915687951899025,
163
+ "loss": 0.2158,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.14764292878635907,
168
+ "grad_norm": 0.21532030403614044,
169
+ "learning_rate": 0.00019901681458564592,
170
+ "loss": 0.2505,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.15406218655967904,
175
+ "grad_norm": 0.18523766100406647,
176
+ "learning_rate": 0.00019886604886171797,
177
+ "loss": 0.2648,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.160481444332999,
182
+ "grad_norm": 0.1750323474407196,
183
+ "learning_rate": 0.00019870459864052435,
184
+ "loss": 0.1999,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.16690070210631897,
189
+ "grad_norm": 0.21571072936058044,
190
+ "learning_rate": 0.00019853248137006123,
191
+ "loss": 0.2513,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1733199598796389,
196
+ "grad_norm": 0.4137316942214966,
197
+ "learning_rate": 0.00019834971565111758,
198
+ "loss": 0.2365,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1797392176529589,
203
+ "grad_norm": 0.1867353618144989,
204
+ "learning_rate": 0.0001981563212352648,
205
+ "loss": 0.2136,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.18615847542627884,
210
+ "grad_norm": 0.24344463646411896,
211
+ "learning_rate": 0.0001979523190227222,
212
+ "loss": 0.2051,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.19257773319959878,
217
+ "grad_norm": 0.32625189423561096,
218
+ "learning_rate": 0.0001977377310600984,
219
+ "loss": 0.2142,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.19899699097291876,
224
+ "grad_norm": 0.2645917236804962,
225
+ "learning_rate": 0.00019751258053800865,
226
+ "loss": 0.2169,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2054162487462387,
231
+ "grad_norm": 0.2912643849849701,
232
+ "learning_rate": 0.0001972768917885686,
233
+ "loss": 0.2276,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.21183550651955868,
238
+ "grad_norm": 0.18374884128570557,
239
+ "learning_rate": 0.00019703069028276482,
240
+ "loss": 0.181,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.21825476429287863,
245
+ "grad_norm": 0.22864000499248505,
246
+ "learning_rate": 0.000196774002627702,
247
+ "loss": 0.2036,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2246740220661986,
252
+ "grad_norm": 0.1839989423751831,
253
+ "learning_rate": 0.00019650685656372763,
254
+ "loss": 0.1646,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.23109327983951855,
259
+ "grad_norm": 0.2861062288284302,
260
+ "learning_rate": 0.000196229280961434,
261
+ "loss": 0.1854,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.23751253761283853,
266
+ "grad_norm": 0.19540704786777496,
267
+ "learning_rate": 0.00019594130581853823,
268
+ "loss": 0.1444,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.24393179538615847,
273
+ "grad_norm": 0.33926671743392944,
274
+ "learning_rate": 0.0001956429622566403,
275
+ "loss": 0.1933,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.2503510531594784,
280
+ "grad_norm": 0.3747280538082123,
281
+ "learning_rate": 0.00019533428251785983,
282
+ "loss": 0.1932,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.2567703109327984,
287
+ "grad_norm": 0.1787070333957672,
288
+ "learning_rate": 0.00019501529996135156,
289
+ "loss": 0.1855,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.26318956870611837,
294
+ "grad_norm": 0.21175768971443176,
295
+ "learning_rate": 0.00019468604905970033,
296
+ "loss": 0.2053,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.2696088264794383,
301
+ "grad_norm": 0.22584153711795807,
302
+ "learning_rate": 0.00019434656539519548,
303
+ "loss": 0.1551,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.27602808425275827,
308
+ "grad_norm": 0.20716825127601624,
309
+ "learning_rate": 0.00019399688565598547,
310
+ "loss": 0.1708,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.28244734202607824,
315
+ "grad_norm": 0.21005718410015106,
316
+ "learning_rate": 0.0001936370476321132,
317
+ "loss": 0.1279,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.2888665997993982,
322
+ "grad_norm": 0.209135502576828,
323
+ "learning_rate": 0.00019326709021143167,
324
+ "loss": 0.1584,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.29528585757271814,
329
+ "grad_norm": 0.2232855260372162,
330
+ "learning_rate": 0.00019288705337540166,
331
+ "loss": 0.1562,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3017051153460381,
336
+ "grad_norm": 0.2212464064359665,
337
+ "learning_rate": 0.0001924969781947707,
338
+ "loss": 0.1733,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.3081243731193581,
343
+ "grad_norm": 0.18040229380130768,
344
+ "learning_rate": 0.00019209690682513465,
345
+ "loss": 0.12,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.31454363089267806,
350
+ "grad_norm": 0.16415567696094513,
351
+ "learning_rate": 0.0001916868825023819,
352
+ "loss": 0.1257,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.320962888665998,
357
+ "grad_norm": 0.18324217200279236,
358
+ "learning_rate": 0.00019126694953802093,
359
+ "loss": 0.138,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.320962888665998,
364
+ "eval_loss": 0.15367139875888824,
365
+ "eval_runtime": 127.7222,
366
+ "eval_samples_per_second": 10.296,
367
+ "eval_steps_per_second": 10.296,
368
+ "step": 500
369
+ },
370
+ {
371
+ "epoch": 0.32738214643931796,
372
+ "grad_norm": 0.15339615941047668,
373
+ "learning_rate": 0.00019083715331439134,
374
+ "loss": 0.1653,
375
+ "step": 510
376
+ },
377
+ {
378
+ "epoch": 0.33380140421263793,
379
+ "grad_norm": 0.2750616669654846,
380
+ "learning_rate": 0.00019039754027975952,
381
+ "loss": 0.1834,
382
+ "step": 520
383
+ },
384
+ {
385
+ "epoch": 0.34022066198595785,
386
+ "grad_norm": 0.20012134313583374,
387
+ "learning_rate": 0.00018994815794329896,
388
+ "loss": 0.1278,
389
+ "step": 530
390
+ },
391
+ {
392
+ "epoch": 0.3466399197592778,
393
+ "grad_norm": 0.24493156373500824,
394
+ "learning_rate": 0.0001894890548699559,
395
+ "loss": 0.142,
396
+ "step": 540
397
+ },
398
+ {
399
+ "epoch": 0.3530591775325978,
400
+ "grad_norm": 0.1628945767879486,
401
+ "learning_rate": 0.0001890202806752008,
402
+ "loss": 0.1287,
403
+ "step": 550
404
+ },
405
+ {
406
+ "epoch": 0.3594784353059178,
407
+ "grad_norm": 0.24853569269180298,
408
+ "learning_rate": 0.00018854188601966657,
409
+ "loss": 0.1397,
410
+ "step": 560
411
+ },
412
+ {
413
+ "epoch": 0.3658976930792377,
414
+ "grad_norm": 0.1540278196334839,
415
+ "learning_rate": 0.0001880539226036734,
416
+ "loss": 0.1343,
417
+ "step": 570
418
+ },
419
+ {
420
+ "epoch": 0.37231695085255767,
421
+ "grad_norm": 0.3391481935977936,
422
+ "learning_rate": 0.00018755644316164176,
423
+ "loss": 0.122,
424
+ "step": 580
425
+ },
426
+ {
427
+ "epoch": 0.37873620862587765,
428
+ "grad_norm": 0.19285668432712555,
429
+ "learning_rate": 0.0001870495014563931,
430
+ "loss": 0.1015,
431
+ "step": 590
432
+ },
433
+ {
434
+ "epoch": 0.38515546639919757,
435
+ "grad_norm": 0.19064725935459137,
436
+ "learning_rate": 0.00018653315227333992,
437
+ "loss": 0.1165,
438
+ "step": 600
439
+ },
440
+ {
441
+ "epoch": 0.39157472417251754,
442
+ "grad_norm": 0.21822167932987213,
443
+ "learning_rate": 0.00018600745141456485,
444
+ "loss": 0.1185,
445
+ "step": 610
446
+ },
447
+ {
448
+ "epoch": 0.3979939819458375,
449
+ "grad_norm": 0.21495632827281952,
450
+ "learning_rate": 0.0001854724556927903,
451
+ "loss": 0.1455,
452
+ "step": 620
453
+ },
454
+ {
455
+ "epoch": 0.4044132397191575,
456
+ "grad_norm": 0.21818260848522186,
457
+ "learning_rate": 0.00018492822292523863,
458
+ "loss": 0.1045,
459
+ "step": 630
460
+ },
461
+ {
462
+ "epoch": 0.4108324974924774,
463
+ "grad_norm": 0.2295123040676117,
464
+ "learning_rate": 0.0001843748119273837,
465
+ "loss": 0.1331,
466
+ "step": 640
467
+ },
468
+ {
469
+ "epoch": 0.4172517552657974,
470
+ "grad_norm": 0.3051343560218811,
471
+ "learning_rate": 0.0001838122825065948,
472
+ "loss": 0.1139,
473
+ "step": 650
474
+ },
475
+ {
476
+ "epoch": 0.42367101303911736,
477
+ "grad_norm": 0.24361808598041534,
478
+ "learning_rate": 0.0001832406954556732,
479
+ "loss": 0.1205,
480
+ "step": 660
481
+ },
482
+ {
483
+ "epoch": 0.43009027081243734,
484
+ "grad_norm": 0.19327011704444885,
485
+ "learning_rate": 0.00018266011254628218,
486
+ "loss": 0.087,
487
+ "step": 670
488
+ },
489
+ {
490
+ "epoch": 0.43650952858575726,
491
+ "grad_norm": 0.21391886472702026,
492
+ "learning_rate": 0.0001820705965222714,
493
+ "loss": 0.1079,
494
+ "step": 680
495
+ },
496
+ {
497
+ "epoch": 0.44292878635907723,
498
+ "grad_norm": 0.21966692805290222,
499
+ "learning_rate": 0.0001814722110928962,
500
+ "loss": 0.1188,
501
+ "step": 690
502
+ },
503
+ {
504
+ "epoch": 0.4493480441323972,
505
+ "grad_norm": 0.19202131032943726,
506
+ "learning_rate": 0.00018086502092593234,
507
+ "loss": 0.0991,
508
+ "step": 700
509
+ },
510
+ {
511
+ "epoch": 0.4557673019057171,
512
+ "grad_norm": 0.1604185700416565,
513
+ "learning_rate": 0.00018024909164068755,
514
+ "loss": 0.094,
515
+ "step": 710
516
+ },
517
+ {
518
+ "epoch": 0.4621865596790371,
519
+ "grad_norm": 0.21912045776844025,
520
+ "learning_rate": 0.00017962448980090982,
521
+ "loss": 0.1093,
522
+ "step": 720
523
+ },
524
+ {
525
+ "epoch": 0.4686058174523571,
526
+ "grad_norm": 0.16105616092681885,
527
+ "learning_rate": 0.00017899128290759395,
528
+ "loss": 0.0747,
529
+ "step": 730
530
+ },
531
+ {
532
+ "epoch": 0.47502507522567705,
533
+ "grad_norm": 0.19927042722702026,
534
+ "learning_rate": 0.00017834953939168663,
535
+ "loss": 0.1057,
536
+ "step": 740
537
+ },
538
+ {
539
+ "epoch": 0.48144433299899697,
540
+ "grad_norm": 0.2838548421859741,
541
+ "learning_rate": 0.00017769932860669111,
542
+ "loss": 0.0891,
543
+ "step": 750
544
+ },
545
+ {
546
+ "epoch": 0.48786359077231695,
547
+ "grad_norm": 0.16990593075752258,
548
+ "learning_rate": 0.00017704072082117215,
549
+ "loss": 0.0993,
550
+ "step": 760
551
+ },
552
+ {
553
+ "epoch": 0.4942828485456369,
554
+ "grad_norm": 0.22423957288265228,
555
+ "learning_rate": 0.00017637378721116197,
556
+ "loss": 0.0787,
557
+ "step": 770
558
+ },
559
+ {
560
+ "epoch": 0.5007021063189568,
561
+ "grad_norm": 0.224956676363945,
562
+ "learning_rate": 0.00017569859985246838,
563
+ "loss": 0.1019,
564
+ "step": 780
565
+ },
566
+ {
567
+ "epoch": 0.5071213640922768,
568
+ "grad_norm": 0.11727194488048553,
569
+ "learning_rate": 0.0001750152317128854,
570
+ "loss": 0.0806,
571
+ "step": 790
572
+ },
573
+ {
574
+ "epoch": 0.5135406218655968,
575
+ "grad_norm": 0.13485625386238098,
576
+ "learning_rate": 0.00017432375664430753,
577
+ "loss": 0.0873,
578
+ "step": 800
579
+ },
580
+ {
581
+ "epoch": 0.5199598796389168,
582
+ "grad_norm": 0.2887745201587677,
583
+ "learning_rate": 0.0001736242493747488,
584
+ "loss": 0.0796,
585
+ "step": 810
586
+ },
587
+ {
588
+ "epoch": 0.5263791374122367,
589
+ "grad_norm": 0.3110921084880829,
590
+ "learning_rate": 0.00017291678550026665,
591
+ "loss": 0.0912,
592
+ "step": 820
593
+ },
594
+ {
595
+ "epoch": 0.5327983951855567,
596
+ "grad_norm": 0.17630113661289215,
597
+ "learning_rate": 0.0001722014414767923,
598
+ "loss": 0.0795,
599
+ "step": 830
600
+ },
601
+ {
602
+ "epoch": 0.5392176529588766,
603
+ "grad_norm": 0.1666630357503891,
604
+ "learning_rate": 0.00017147829461186816,
605
+ "loss": 0.0791,
606
+ "step": 840
607
+ },
608
+ {
609
+ "epoch": 0.5456369107321966,
610
+ "grad_norm": 0.17798000574111938,
611
+ "learning_rate": 0.00017074742305629305,
612
+ "loss": 0.1046,
613
+ "step": 850
614
+ },
615
+ {
616
+ "epoch": 0.5520561685055165,
617
+ "grad_norm": 0.30929967761039734,
618
+ "learning_rate": 0.0001700089057956766,
619
+ "loss": 0.088,
620
+ "step": 860
621
+ },
622
+ {
623
+ "epoch": 0.5584754262788365,
624
+ "grad_norm": 0.12197452783584595,
625
+ "learning_rate": 0.00016926282264190313,
626
+ "loss": 0.0766,
627
+ "step": 870
628
+ },
629
+ {
630
+ "epoch": 0.5648946840521565,
631
+ "grad_norm": 0.254573255777359,
632
+ "learning_rate": 0.00016850925422450626,
633
+ "loss": 0.1153,
634
+ "step": 880
635
+ },
636
+ {
637
+ "epoch": 0.5713139418254765,
638
+ "grad_norm": 0.14357267320156097,
639
+ "learning_rate": 0.0001677482819819554,
640
+ "loss": 0.0919,
641
+ "step": 890
642
+ },
643
+ {
644
+ "epoch": 0.5777331995987964,
645
+ "grad_norm": 0.22417870163917542,
646
+ "learning_rate": 0.00016697998815285461,
647
+ "loss": 0.0771,
648
+ "step": 900
649
+ },
650
+ {
651
+ "epoch": 0.5841524573721163,
652
+ "grad_norm": 0.37406066060066223,
653
+ "learning_rate": 0.00016620445576705502,
654
+ "loss": 0.0783,
655
+ "step": 910
656
+ },
657
+ {
658
+ "epoch": 0.5905717151454363,
659
+ "grad_norm": 0.1301262080669403,
660
+ "learning_rate": 0.0001654217686366817,
661
+ "loss": 0.064,
662
+ "step": 920
663
+ },
664
+ {
665
+ "epoch": 0.5969909729187562,
666
+ "grad_norm": 0.13001087307929993,
667
+ "learning_rate": 0.0001646320113470761,
668
+ "loss": 0.0554,
669
+ "step": 930
670
+ },
671
+ {
672
+ "epoch": 0.6034102306920762,
673
+ "grad_norm": 0.1982804834842682,
674
+ "learning_rate": 0.00016383526924765494,
675
+ "loss": 0.0902,
676
+ "step": 940
677
+ },
678
+ {
679
+ "epoch": 0.6098294884653962,
680
+ "grad_norm": 0.14553162455558777,
681
+ "learning_rate": 0.0001630316284426864,
682
+ "loss": 0.073,
683
+ "step": 950
684
+ },
685
+ {
686
+ "epoch": 0.6162487462387162,
687
+ "grad_norm": 0.22459714114665985,
688
+ "learning_rate": 0.00016222117578198477,
689
+ "loss": 0.0874,
690
+ "step": 960
691
+ },
692
+ {
693
+ "epoch": 0.6226680040120361,
694
+ "grad_norm": 0.23248261213302612,
695
+ "learning_rate": 0.00016140399885152456,
696
+ "loss": 0.0607,
697
+ "step": 970
698
+ },
699
+ {
700
+ "epoch": 0.6290872617853561,
701
+ "grad_norm": 0.28904321789741516,
702
+ "learning_rate": 0.00016058018596397508,
703
+ "loss": 0.0708,
704
+ "step": 980
705
+ },
706
+ {
707
+ "epoch": 0.635506519558676,
708
+ "grad_norm": 0.18531730771064758,
709
+ "learning_rate": 0.00015974982614915643,
710
+ "loss": 0.064,
711
+ "step": 990
712
+ },
713
+ {
714
+ "epoch": 0.641925777331996,
715
+ "grad_norm": 0.16869930922985077,
716
+ "learning_rate": 0.00015891300914441803,
717
+ "loss": 0.0526,
718
+ "step": 1000
719
+ },
720
+ {
721
+ "epoch": 0.641925777331996,
722
+ "eval_loss": 0.08326917141675949,
723
+ "eval_runtime": 128.9614,
724
+ "eval_samples_per_second": 10.197,
725
+ "eval_steps_per_second": 10.197,
726
+ "step": 1000
727
+ },
728
+ {
729
+ "epoch": 0.6483450351053159,
730
+ "grad_norm": 0.23396554589271545,
731
+ "learning_rate": 0.00015806982538494065,
732
+ "loss": 0.0624,
733
+ "step": 1010
734
+ },
735
+ {
736
+ "epoch": 0.6547642928786359,
737
+ "grad_norm": 0.13306337594985962,
738
+ "learning_rate": 0.00015722036599396296,
739
+ "loss": 0.084,
740
+ "step": 1020
741
+ },
742
+ {
743
+ "epoch": 0.6611835506519559,
744
+ "grad_norm": 0.14258597791194916,
745
+ "learning_rate": 0.00015636472277293396,
746
+ "loss": 0.0553,
747
+ "step": 1030
748
+ },
749
+ {
750
+ "epoch": 0.6676028084252759,
751
+ "grad_norm": 0.17658811807632446,
752
+ "learning_rate": 0.00015550298819159189,
753
+ "loss": 0.0641,
754
+ "step": 1040
755
+ },
756
+ {
757
+ "epoch": 0.6740220661985958,
758
+ "grad_norm": 0.22399111092090607,
759
+ "learning_rate": 0.0001546352553779709,
760
+ "loss": 0.0798,
761
+ "step": 1050
762
+ },
763
+ {
764
+ "epoch": 0.6804413239719157,
765
+ "grad_norm": 0.25611406564712524,
766
+ "learning_rate": 0.0001537616181083368,
767
+ "loss": 0.062,
768
+ "step": 1060
769
+ },
770
+ {
771
+ "epoch": 0.6868605817452357,
772
+ "grad_norm": 0.21297794580459595,
773
+ "learning_rate": 0.00015288217079705246,
774
+ "loss": 0.0557,
775
+ "step": 1070
776
+ },
777
+ {
778
+ "epoch": 0.6932798395185557,
779
+ "grad_norm": 0.1601909101009369,
780
+ "learning_rate": 0.00015199700848637462,
781
+ "loss": 0.0838,
782
+ "step": 1080
783
+ },
784
+ {
785
+ "epoch": 0.6996990972918756,
786
+ "grad_norm": 0.19593413174152374,
787
+ "learning_rate": 0.00015110622683618243,
788
+ "loss": 0.0578,
789
+ "step": 1090
790
+ },
791
+ {
792
+ "epoch": 0.7061183550651956,
793
+ "grad_norm": 0.3398507237434387,
794
+ "learning_rate": 0.0001502099221136395,
795
+ "loss": 0.0738,
796
+ "step": 1100
797
+ },
798
+ {
799
+ "epoch": 0.7125376128385156,
800
+ "grad_norm": 0.23959602415561676,
801
+ "learning_rate": 0.0001493081911827904,
802
+ "loss": 0.0562,
803
+ "step": 1110
804
+ },
805
+ {
806
+ "epoch": 0.7189568706118356,
807
+ "grad_norm": 0.22912147641181946,
808
+ "learning_rate": 0.00014840113149409233,
809
+ "loss": 0.0708,
810
+ "step": 1120
811
+ },
812
+ {
813
+ "epoch": 0.7253761283851554,
814
+ "grad_norm": 0.1650708019733429,
815
+ "learning_rate": 0.00014748884107388372,
816
+ "loss": 0.0552,
817
+ "step": 1130
818
+ },
819
+ {
820
+ "epoch": 0.7317953861584754,
821
+ "grad_norm": 0.19332996010780334,
822
+ "learning_rate": 0.00014657141851379043,
823
+ "loss": 0.0473,
824
+ "step": 1140
825
+ },
826
+ {
827
+ "epoch": 0.7382146439317954,
828
+ "grad_norm": 0.15983298420906067,
829
+ "learning_rate": 0.00014564896296007088,
830
+ "loss": 0.0465,
831
+ "step": 1150
832
+ },
833
+ {
834
+ "epoch": 0.7446339017051153,
835
+ "grad_norm": 0.16740870475769043,
836
+ "learning_rate": 0.00014472157410290147,
837
+ "loss": 0.0482,
838
+ "step": 1160
839
+ },
840
+ {
841
+ "epoch": 0.7510531594784353,
842
+ "grad_norm": 0.17517174780368805,
843
+ "learning_rate": 0.00014378935216560268,
844
+ "loss": 0.0678,
845
+ "step": 1170
846
+ },
847
+ {
848
+ "epoch": 0.7574724172517553,
849
+ "grad_norm": 0.2131085991859436,
850
+ "learning_rate": 0.00014285239789380824,
851
+ "loss": 0.0436,
852
+ "step": 1180
853
+ },
854
+ {
855
+ "epoch": 0.7638916750250753,
856
+ "grad_norm": 0.17330893874168396,
857
+ "learning_rate": 0.00014191081254457725,
858
+ "loss": 0.0504,
859
+ "step": 1190
860
+ },
861
+ {
862
+ "epoch": 0.7703109327983951,
863
+ "grad_norm": 0.15023717284202576,
864
+ "learning_rate": 0.0001409646978754514,
865
+ "loss": 0.0531,
866
+ "step": 1200
867
+ },
868
+ {
869
+ "epoch": 0.7767301905717151,
870
+ "grad_norm": 0.10652194917201996,
871
+ "learning_rate": 0.00014001415613345793,
872
+ "loss": 0.0468,
873
+ "step": 1210
874
+ },
875
+ {
876
+ "epoch": 0.7831494483450351,
877
+ "grad_norm": 0.11492206156253815,
878
+ "learning_rate": 0.00013905929004405992,
879
+ "loss": 0.0497,
880
+ "step": 1220
881
+ },
882
+ {
883
+ "epoch": 0.7895687061183551,
884
+ "grad_norm": 0.27618470788002014,
885
+ "learning_rate": 0.00013810020280005441,
886
+ "loss": 0.0696,
887
+ "step": 1230
888
+ },
889
+ {
890
+ "epoch": 0.795987963891675,
891
+ "grad_norm": 0.10219205170869827,
892
+ "learning_rate": 0.00013713699805042057,
893
+ "loss": 0.0514,
894
+ "step": 1240
895
+ },
896
+ {
897
+ "epoch": 0.802407221664995,
898
+ "grad_norm": 0.1219983845949173,
899
+ "learning_rate": 0.00013616977988911821,
900
+ "loss": 0.0378,
901
+ "step": 1250
902
+ },
903
+ {
904
+ "epoch": 0.808826479438315,
905
+ "grad_norm": 0.1977282017469406,
906
+ "learning_rate": 0.00013519865284383818,
907
+ "loss": 0.0639,
908
+ "step": 1260
909
+ },
910
+ {
911
+ "epoch": 0.815245737211635,
912
+ "grad_norm": 0.11138994246721268,
913
+ "learning_rate": 0.00013422372186470632,
914
+ "loss": 0.0575,
915
+ "step": 1270
916
+ },
917
+ {
918
+ "epoch": 0.8216649949849548,
919
+ "grad_norm": 0.1591784507036209,
920
+ "learning_rate": 0.00013324509231294108,
921
+ "loss": 0.0399,
922
+ "step": 1280
923
+ },
924
+ {
925
+ "epoch": 0.8280842527582748,
926
+ "grad_norm": 0.12934090197086334,
927
+ "learning_rate": 0.00013226286994946746,
928
+ "loss": 0.0469,
929
+ "step": 1290
930
+ },
931
+ {
932
+ "epoch": 0.8345035105315948,
933
+ "grad_norm": 0.13661682605743408,
934
+ "learning_rate": 0.00013127716092348708,
935
+ "loss": 0.0441,
936
+ "step": 1300
937
+ },
938
+ {
939
+ "epoch": 0.8409227683049147,
940
+ "grad_norm": 0.25683388113975525,
941
+ "learning_rate": 0.0001302880717610067,
942
+ "loss": 0.0644,
943
+ "step": 1310
944
+ },
945
+ {
946
+ "epoch": 0.8473420260782347,
947
+ "grad_norm": 0.14545147120952606,
948
+ "learning_rate": 0.00012929570935332597,
949
+ "loss": 0.0446,
950
+ "step": 1320
951
+ },
952
+ {
953
+ "epoch": 0.8537612838515547,
954
+ "grad_norm": 0.16420190036296844,
955
+ "learning_rate": 0.0001283001809454856,
956
+ "loss": 0.0597,
957
+ "step": 1330
958
+ },
959
+ {
960
+ "epoch": 0.8601805416248747,
961
+ "grad_norm": 0.2332782745361328,
962
+ "learning_rate": 0.00012730159412467726,
963
+ "loss": 0.0435,
964
+ "step": 1340
965
+ },
966
+ {
967
+ "epoch": 0.8665997993981945,
968
+ "grad_norm": 0.09255204349756241,
969
+ "learning_rate": 0.00012630005680861668,
970
+ "loss": 0.0528,
971
+ "step": 1350
972
+ },
973
+ {
974
+ "epoch": 0.8730190571715145,
975
+ "grad_norm": 0.2076631337404251,
976
+ "learning_rate": 0.00012529567723388088,
977
+ "loss": 0.0525,
978
+ "step": 1360
979
+ },
980
+ {
981
+ "epoch": 0.8794383149448345,
982
+ "grad_norm": 0.17183755338191986,
983
+ "learning_rate": 0.0001242885639442111,
984
+ "loss": 0.0435,
985
+ "step": 1370
986
+ },
987
+ {
988
+ "epoch": 0.8858575727181545,
989
+ "grad_norm": 0.1666991412639618,
990
+ "learning_rate": 0.00012327882577878226,
991
+ "loss": 0.0403,
992
+ "step": 1380
993
+ },
994
+ {
995
+ "epoch": 0.8922768304914744,
996
+ "grad_norm": 0.1412462741136551,
997
+ "learning_rate": 0.00012226657186044086,
998
+ "loss": 0.0512,
999
+ "step": 1390
1000
+ },
1001
+ {
1002
+ "epoch": 0.8986960882647944,
1003
+ "grad_norm": 0.13901075720787048,
1004
+ "learning_rate": 0.00012125191158391178,
1005
+ "loss": 0.0311,
1006
+ "step": 1400
1007
+ },
1008
+ {
1009
+ "epoch": 0.9051153460381144,
1010
+ "grad_norm": 0.1401802897453308,
1011
+ "learning_rate": 0.00012023495460397614,
1012
+ "loss": 0.0383,
1013
+ "step": 1410
1014
+ },
1015
+ {
1016
+ "epoch": 0.9115346038114343,
1017
+ "grad_norm": 0.18335814774036407,
1018
+ "learning_rate": 0.00011921581082362092,
1019
+ "loss": 0.0355,
1020
+ "step": 1420
1021
+ },
1022
+ {
1023
+ "epoch": 0.9179538615847542,
1024
+ "grad_norm": 0.1105201244354248,
1025
+ "learning_rate": 0.00011819459038216143,
1026
+ "loss": 0.0433,
1027
+ "step": 1430
1028
+ },
1029
+ {
1030
+ "epoch": 0.9243731193580742,
1031
+ "grad_norm": 0.10848142206668854,
1032
+ "learning_rate": 0.00011717140364333874,
1033
+ "loss": 0.0333,
1034
+ "step": 1440
1035
+ },
1036
+ {
1037
+ "epoch": 0.9307923771313942,
1038
+ "grad_norm": 0.07852191478013992,
1039
+ "learning_rate": 0.00011614636118339249,
1040
+ "loss": 0.0466,
1041
+ "step": 1450
1042
+ },
1043
+ {
1044
+ "epoch": 0.9372116349047142,
1045
+ "grad_norm": 0.16577693819999695,
1046
+ "learning_rate": 0.00011511957377911091,
1047
+ "loss": 0.0533,
1048
+ "step": 1460
1049
+ },
1050
+ {
1051
+ "epoch": 0.9436308926780341,
1052
+ "grad_norm": 0.12513399124145508,
1053
+ "learning_rate": 0.00011409115239585921,
1054
+ "loss": 0.0371,
1055
+ "step": 1470
1056
+ },
1057
+ {
1058
+ "epoch": 0.9500501504513541,
1059
+ "grad_norm": 0.24522411823272705,
1060
+ "learning_rate": 0.00011306120817558736,
1061
+ "loss": 0.0463,
1062
+ "step": 1480
1063
+ },
1064
+ {
1065
+ "epoch": 0.956469408224674,
1066
+ "grad_norm": 0.1543067842721939,
1067
+ "learning_rate": 0.00011202985242481898,
1068
+ "loss": 0.0411,
1069
+ "step": 1490
1070
+ },
1071
+ {
1072
+ "epoch": 0.9628886659979939,
1073
+ "grad_norm": 0.10811112076044083,
1074
+ "learning_rate": 0.00011099719660262243,
1075
+ "loss": 0.043,
1076
+ "step": 1500
1077
+ },
1078
+ {
1079
+ "epoch": 0.9628886659979939,
1080
+ "eval_loss": 0.057985104620456696,
1081
+ "eval_runtime": 128.7458,
1082
+ "eval_samples_per_second": 10.214,
1083
+ "eval_steps_per_second": 10.214,
1084
+ "step": 1500
1085
+ },
1086
+ {
1087
+ "epoch": 0.9693079237713139,
1088
+ "grad_norm": 0.10716786235570908,
1089
+ "learning_rate": 0.00010996335230856538,
1090
+ "loss": 0.034,
1091
+ "step": 1510
1092
+ },
1093
+ {
1094
+ "epoch": 0.9757271815446339,
1095
+ "grad_norm": 0.12667109072208405,
1096
+ "learning_rate": 0.00010892843127065416,
1097
+ "loss": 0.0382,
1098
+ "step": 1520
1099
+ },
1100
+ {
1101
+ "epoch": 0.9821464393179539,
1102
+ "grad_norm": 0.22383131086826324,
1103
+ "learning_rate": 0.00010789254533325929,
1104
+ "loss": 0.0491,
1105
+ "step": 1530
1106
+ },
1107
+ {
1108
+ "epoch": 0.9885656970912738,
1109
+ "grad_norm": 0.09304796904325485,
1110
+ "learning_rate": 0.00010685580644502837,
1111
+ "loss": 0.0354,
1112
+ "step": 1540
1113
+ },
1114
+ {
1115
+ "epoch": 0.9949849548645938,
1116
+ "grad_norm": 0.07743366062641144,
1117
+ "learning_rate": 0.0001058183266467878,
1118
+ "loss": 0.042,
1119
+ "step": 1550
1120
+ },
1121
+ {
1122
+ "epoch": 1.001283851554664,
1123
+ "grad_norm": 0.15325789153575897,
1124
+ "learning_rate": 0.00010478021805943445,
1125
+ "loss": 0.039,
1126
+ "step": 1560
1127
+ },
1128
+ {
1129
+ "epoch": 1.007703109327984,
1130
+ "grad_norm": 0.07142600417137146,
1131
+ "learning_rate": 0.00010374159287181868,
1132
+ "loss": 0.0299,
1133
+ "step": 1570
1134
+ },
1135
+ {
1136
+ "epoch": 1.014122367101304,
1137
+ "grad_norm": 0.07669597119092941,
1138
+ "learning_rate": 0.00010270256332862014,
1139
+ "loss": 0.0301,
1140
+ "step": 1580
1141
+ },
1142
+ {
1143
+ "epoch": 1.020541624874624,
1144
+ "grad_norm": 0.07297486811876297,
1145
+ "learning_rate": 0.00010166324171821721,
1146
+ "loss": 0.0347,
1147
+ "step": 1590
1148
+ },
1149
+ {
1150
+ "epoch": 1.026960882647944,
1151
+ "grad_norm": 0.20420107245445251,
1152
+ "learning_rate": 0.00010062374036055226,
1153
+ "loss": 0.0307,
1154
+ "step": 1600
1155
+ },
1156
+ {
1157
+ "epoch": 1.0333801404212637,
1158
+ "grad_norm": 0.09947313368320465,
1159
+ "learning_rate": 9.958417159499298e-05,
1160
+ "loss": 0.0307,
1161
+ "step": 1610
1162
+ },
1163
+ {
1164
+ "epoch": 1.0397993981945837,
1165
+ "grad_norm": 0.11809804290533066,
1166
+ "learning_rate": 9.85446477681918e-05,
1167
+ "loss": 0.0299,
1168
+ "step": 1620
1169
+ },
1170
+ {
1171
+ "epoch": 1.0462186559679036,
1172
+ "grad_norm": 0.2631526291370392,
1173
+ "learning_rate": 9.750528122194467e-05,
1174
+ "loss": 0.0387,
1175
+ "step": 1630
1176
+ },
1177
+ {
1178
+ "epoch": 1.0526379137412236,
1179
+ "grad_norm": 0.08276328444480896,
1180
+ "learning_rate": 9.646618428105013e-05,
1181
+ "loss": 0.0305,
1182
+ "step": 1640
1183
+ },
1184
+ {
1185
+ "epoch": 1.0590571715145436,
1186
+ "grad_norm": 0.11126093566417694,
1187
+ "learning_rate": 9.542746924117037e-05,
1188
+ "loss": 0.0315,
1189
+ "step": 1650
1190
+ },
1191
+ {
1192
+ "epoch": 1.0654764292878636,
1193
+ "grad_norm": 0.125727117061615,
1194
+ "learning_rate": 9.438924835669532e-05,
1195
+ "loss": 0.0272,
1196
+ "step": 1660
1197
+ },
1198
+ {
1199
+ "epoch": 1.0718956870611835,
1200
+ "grad_norm": 0.13635793328285217,
1201
+ "learning_rate": 9.33516338286114e-05,
1202
+ "loss": 0.0339,
1203
+ "step": 1670
1204
+ },
1205
+ {
1206
+ "epoch": 1.0783149448345035,
1207
+ "grad_norm": 0.1484992802143097,
1208
+ "learning_rate": 9.231473779237579e-05,
1209
+ "loss": 0.0301,
1210
+ "step": 1680
1211
+ },
1212
+ {
1213
+ "epoch": 1.0847342026078235,
1214
+ "grad_norm": 0.12370124459266663,
1215
+ "learning_rate": 9.127867230579788e-05,
1216
+ "loss": 0.0244,
1217
+ "step": 1690
1218
+ },
1219
+ {
1220
+ "epoch": 1.0911534603811435,
1221
+ "grad_norm": 0.11567872017621994,
1222
+ "learning_rate": 9.024354933692935e-05,
1223
+ "loss": 0.0291,
1224
+ "step": 1700
1225
+ },
1226
+ {
1227
+ "epoch": 1.0975727181544634,
1228
+ "grad_norm": 0.09546232968568802,
1229
+ "learning_rate": 8.920948075196332e-05,
1230
+ "loss": 0.0229,
1231
+ "step": 1710
1232
+ },
1233
+ {
1234
+ "epoch": 1.1039919759277834,
1235
+ "grad_norm": 0.05330915004014969,
1236
+ "learning_rate": 8.817657830314546e-05,
1237
+ "loss": 0.029,
1238
+ "step": 1720
1239
+ },
1240
+ {
1241
+ "epoch": 1.1104112337011034,
1242
+ "grad_norm": 0.07367228716611862,
1243
+ "learning_rate": 8.714495361669644e-05,
1244
+ "loss": 0.0316,
1245
+ "step": 1730
1246
+ },
1247
+ {
1248
+ "epoch": 1.1168304914744234,
1249
+ "grad_norm": 0.056328821927309036,
1250
+ "learning_rate": 8.61147181807486e-05,
1251
+ "loss": 0.0256,
1252
+ "step": 1740
1253
+ },
1254
+ {
1255
+ "epoch": 1.1232497492477433,
1256
+ "grad_norm": 0.11536078155040741,
1257
+ "learning_rate": 8.508598333329744e-05,
1258
+ "loss": 0.0234,
1259
+ "step": 1750
1260
+ },
1261
+ {
1262
+ "epoch": 1.129669007021063,
1263
+ "grad_norm": 0.09325211495161057,
1264
+ "learning_rate": 8.405886025016911e-05,
1265
+ "loss": 0.0316,
1266
+ "step": 1760
1267
+ },
1268
+ {
1269
+ "epoch": 1.136088264794383,
1270
+ "grad_norm": 0.06355856359004974,
1271
+ "learning_rate": 8.303345993300575e-05,
1272
+ "loss": 0.0255,
1273
+ "step": 1770
1274
+ },
1275
+ {
1276
+ "epoch": 1.142507522567703,
1277
+ "grad_norm": 0.11567080020904541,
1278
+ "learning_rate": 8.200989319726937e-05,
1279
+ "loss": 0.0253,
1280
+ "step": 1780
1281
+ },
1282
+ {
1283
+ "epoch": 1.148926780341023,
1284
+ "grad_norm": 0.11177469789981842,
1285
+ "learning_rate": 8.098827066026615e-05,
1286
+ "loss": 0.025,
1287
+ "step": 1790
1288
+ },
1289
+ {
1290
+ "epoch": 1.155346038114343,
1291
+ "grad_norm": 0.12497933954000473,
1292
+ "learning_rate": 7.996870272919165e-05,
1293
+ "loss": 0.0274,
1294
+ "step": 1800
1295
+ },
1296
+ {
1297
+ "epoch": 1.161765295887663,
1298
+ "grad_norm": 0.11924732476472855,
1299
+ "learning_rate": 7.895129958919947e-05,
1300
+ "loss": 0.0321,
1301
+ "step": 1810
1302
+ },
1303
+ {
1304
+ "epoch": 1.168184553660983,
1305
+ "grad_norm": 0.08141748607158661,
1306
+ "learning_rate": 7.793617119149319e-05,
1307
+ "loss": 0.0262,
1308
+ "step": 1820
1309
+ },
1310
+ {
1311
+ "epoch": 1.174603811434303,
1312
+ "grad_norm": 0.11012791097164154,
1313
+ "learning_rate": 7.692342724144397e-05,
1314
+ "loss": 0.0226,
1315
+ "step": 1830
1316
+ },
1317
+ {
1318
+ "epoch": 1.181023069207623,
1319
+ "grad_norm": 0.12142367660999298,
1320
+ "learning_rate": 7.59131771867348e-05,
1321
+ "loss": 0.0302,
1322
+ "step": 1840
1323
+ },
1324
+ {
1325
+ "epoch": 1.1874423269809429,
1326
+ "grad_norm": 0.04989106208086014,
1327
+ "learning_rate": 7.490553020553214e-05,
1328
+ "loss": 0.0297,
1329
+ "step": 1850
1330
+ },
1331
+ {
1332
+ "epoch": 1.1938615847542629,
1333
+ "grad_norm": 0.11036371439695358,
1334
+ "learning_rate": 7.390059519468726e-05,
1335
+ "loss": 0.0287,
1336
+ "step": 1860
1337
+ },
1338
+ {
1339
+ "epoch": 1.2002808425275828,
1340
+ "grad_norm": 0.09587734192609787,
1341
+ "learning_rate": 7.289848075796755e-05,
1342
+ "loss": 0.022,
1343
+ "step": 1870
1344
+ },
1345
+ {
1346
+ "epoch": 1.2067001003009028,
1347
+ "grad_norm": 0.1048700138926506,
1348
+ "learning_rate": 7.189929519431982e-05,
1349
+ "loss": 0.0246,
1350
+ "step": 1880
1351
+ },
1352
+ {
1353
+ "epoch": 1.2131193580742226,
1354
+ "grad_norm": 0.1045086681842804,
1355
+ "learning_rate": 7.090314648616607e-05,
1356
+ "loss": 0.0245,
1357
+ "step": 1890
1358
+ },
1359
+ {
1360
+ "epoch": 1.2195386158475428,
1361
+ "grad_norm": 0.08027637004852295,
1362
+ "learning_rate": 6.991014228773421e-05,
1363
+ "loss": 0.027,
1364
+ "step": 1900
1365
+ },
1366
+ {
1367
+ "epoch": 1.2259578736208625,
1368
+ "grad_norm": 0.09890926629304886,
1369
+ "learning_rate": 6.892038991342349e-05,
1370
+ "loss": 0.0266,
1371
+ "step": 1910
1372
+ },
1373
+ {
1374
+ "epoch": 1.2323771313941825,
1375
+ "grad_norm": 0.06575173139572144,
1376
+ "learning_rate": 6.793399632620715e-05,
1377
+ "loss": 0.0232,
1378
+ "step": 1920
1379
+ },
1380
+ {
1381
+ "epoch": 1.2387963891675025,
1382
+ "grad_norm": 0.07365952432155609,
1383
+ "learning_rate": 6.695106812607282e-05,
1384
+ "loss": 0.0222,
1385
+ "step": 1930
1386
+ },
1387
+ {
1388
+ "epoch": 1.2452156469408224,
1389
+ "grad_norm": 0.1399465799331665,
1390
+ "learning_rate": 6.597171153850219e-05,
1391
+ "loss": 0.0239,
1392
+ "step": 1940
1393
+ },
1394
+ {
1395
+ "epoch": 1.2516349047141424,
1396
+ "grad_norm": 0.07138116657733917,
1397
+ "learning_rate": 6.499603240299133e-05,
1398
+ "loss": 0.0261,
1399
+ "step": 1950
1400
+ },
1401
+ {
1402
+ "epoch": 1.2580541624874624,
1403
+ "grad_norm": 0.07462996989488602,
1404
+ "learning_rate": 6.40241361616123e-05,
1405
+ "loss": 0.0263,
1406
+ "step": 1960
1407
+ },
1408
+ {
1409
+ "epoch": 1.2644734202607824,
1410
+ "grad_norm": 0.06026960164308548,
1411
+ "learning_rate": 6.305612784761823e-05,
1412
+ "loss": 0.0286,
1413
+ "step": 1970
1414
+ },
1415
+ {
1416
+ "epoch": 1.2708926780341023,
1417
+ "grad_norm": 0.04298267886042595,
1418
+ "learning_rate": 6.209211207409225e-05,
1419
+ "loss": 0.0255,
1420
+ "step": 1980
1421
+ },
1422
+ {
1423
+ "epoch": 1.2773119358074223,
1424
+ "grad_norm": 0.053071849048137665,
1425
+ "learning_rate": 6.113219302264174e-05,
1426
+ "loss": 0.0217,
1427
+ "step": 1990
1428
+ },
1429
+ {
1430
+ "epoch": 1.2837311935807423,
1431
+ "grad_norm": 0.05462060496211052,
1432
+ "learning_rate": 6.017647443213974e-05,
1433
+ "loss": 0.0246,
1434
+ "step": 2000
1435
+ },
1436
+ {
1437
+ "epoch": 1.2837311935807423,
1438
+ "eval_loss": 0.046459589153528214,
1439
+ "eval_runtime": 128.8944,
1440
+ "eval_samples_per_second": 10.202,
1441
+ "eval_steps_per_second": 10.202,
1442
+ "step": 2000
1443
+ },
1444
+ {
1445
+ "epoch": 1.2901504513540623,
1446
+ "grad_norm": 0.052726052701473236,
1447
+ "learning_rate": 5.9225059587513454e-05,
1448
+ "loss": 0.0227,
1449
+ "step": 2010
1450
+ },
1451
+ {
1452
+ "epoch": 1.296569709127382,
1453
+ "grad_norm": 0.05038246139883995,
1454
+ "learning_rate": 5.8278051308582505e-05,
1455
+ "loss": 0.0273,
1456
+ "step": 2020
1457
+ },
1458
+ {
1459
+ "epoch": 1.3029889669007022,
1460
+ "grad_norm": 0.09061837941408157,
1461
+ "learning_rate": 5.733555193894695e-05,
1462
+ "loss": 0.0296,
1463
+ "step": 2030
1464
+ },
1465
+ {
1466
+ "epoch": 1.309408224674022,
1467
+ "grad_norm": 0.11903833597898483,
1468
+ "learning_rate": 5.6397663334927096e-05,
1469
+ "loss": 0.0309,
1470
+ "step": 2040
1471
+ },
1472
+ {
1473
+ "epoch": 1.3158274824473422,
1474
+ "grad_norm": 0.05378040671348572,
1475
+ "learning_rate": 5.5464486854555744e-05,
1476
+ "loss": 0.0236,
1477
+ "step": 2050
1478
+ },
1479
+ {
1480
+ "epoch": 1.322246740220662,
1481
+ "grad_norm": 0.049429334700107574,
1482
+ "learning_rate": 5.453612334662446e-05,
1483
+ "loss": 0.0248,
1484
+ "step": 2060
1485
+ },
1486
+ {
1487
+ "epoch": 1.3286659979939819,
1488
+ "grad_norm": 0.0931214764714241,
1489
+ "learning_rate": 5.361267313978472e-05,
1490
+ "loss": 0.0319,
1491
+ "step": 2070
1492
+ },
1493
+ {
1494
+ "epoch": 1.3350852557673019,
1495
+ "grad_norm": 0.0589577853679657,
1496
+ "learning_rate": 5.2694236031705446e-05,
1497
+ "loss": 0.0253,
1498
+ "step": 2080
1499
+ },
1500
+ {
1501
+ "epoch": 1.3415045135406218,
1502
+ "grad_norm": 0.10711564123630524,
1503
+ "learning_rate": 5.178091127828777e-05,
1504
+ "loss": 0.0283,
1505
+ "step": 2090
1506
+ },
1507
+ {
1508
+ "epoch": 1.3479237713139418,
1509
+ "grad_norm": 0.0872858390212059,
1510
+ "learning_rate": 5.087279758293837e-05,
1511
+ "loss": 0.0237,
1512
+ "step": 2100
1513
+ },
1514
+ {
1515
+ "epoch": 1.3543430290872618,
1516
+ "grad_norm": 0.05081092566251755,
1517
+ "learning_rate": 4.996999308590266e-05,
1518
+ "loss": 0.0246,
1519
+ "step": 2110
1520
+ },
1521
+ {
1522
+ "epoch": 1.3607622868605818,
1523
+ "grad_norm": 0.06178516149520874,
1524
+ "learning_rate": 4.907259535365859e-05,
1525
+ "loss": 0.0238,
1526
+ "step": 2120
1527
+ },
1528
+ {
1529
+ "epoch": 1.3671815446339017,
1530
+ "grad_norm": 0.054508257657289505,
1531
+ "learning_rate": 4.818070136837275e-05,
1532
+ "loss": 0.0209,
1533
+ "step": 2130
1534
+ },
1535
+ {
1536
+ "epoch": 1.3736008024072217,
1537
+ "grad_norm": 0.1331976354122162,
1538
+ "learning_rate": 4.72944075174193e-05,
1539
+ "loss": 0.022,
1540
+ "step": 2140
1541
+ },
1542
+ {
1543
+ "epoch": 1.3800200601805417,
1544
+ "grad_norm": 0.06243107095360756,
1545
+ "learning_rate": 4.6413809582963484e-05,
1546
+ "loss": 0.0172,
1547
+ "step": 2150
1548
+ },
1549
+ {
1550
+ "epoch": 1.3864393179538617,
1551
+ "grad_norm": 0.08247397094964981,
1552
+ "learning_rate": 4.553900273161036e-05,
1553
+ "loss": 0.0213,
1554
+ "step": 2160
1555
+ },
1556
+ {
1557
+ "epoch": 1.3928585757271814,
1558
+ "grad_norm": 0.06733040511608124,
1559
+ "learning_rate": 4.467008150412e-05,
1560
+ "loss": 0.0247,
1561
+ "step": 2170
1562
+ },
1563
+ {
1564
+ "epoch": 1.3992778335005016,
1565
+ "grad_norm": 0.05423252657055855,
1566
+ "learning_rate": 4.3807139805190613e-05,
1567
+ "loss": 0.0247,
1568
+ "step": 2180
1569
+ },
1570
+ {
1571
+ "epoch": 1.4056970912738214,
1572
+ "grad_norm": 0.10230846703052521,
1573
+ "learning_rate": 4.295027089331013e-05,
1574
+ "loss": 0.0212,
1575
+ "step": 2190
1576
+ },
1577
+ {
1578
+ "epoch": 1.4121163490471416,
1579
+ "grad_norm": 0.05248994752764702,
1580
+ "learning_rate": 4.2099567370677687e-05,
1581
+ "loss": 0.0177,
1582
+ "step": 2200
1583
+ },
1584
+ {
1585
+ "epoch": 1.4185356068204613,
1586
+ "grad_norm": 0.07035645842552185,
1587
+ "learning_rate": 4.125512117319612e-05,
1588
+ "loss": 0.021,
1589
+ "step": 2210
1590
+ },
1591
+ {
1592
+ "epoch": 1.4249548645937813,
1593
+ "grad_norm": 0.10099633783102036,
1594
+ "learning_rate": 4.041702356053639e-05,
1595
+ "loss": 0.0212,
1596
+ "step": 2220
1597
+ },
1598
+ {
1599
+ "epoch": 1.4313741223671013,
1600
+ "grad_norm": 0.13029153645038605,
1601
+ "learning_rate": 3.958536510627511e-05,
1602
+ "loss": 0.0191,
1603
+ "step": 2230
1604
+ },
1605
+ {
1606
+ "epoch": 1.4377933801404212,
1607
+ "grad_norm": 0.06044310703873634,
1608
+ "learning_rate": 3.876023568810622e-05,
1609
+ "loss": 0.0205,
1610
+ "step": 2240
1611
+ },
1612
+ {
1613
+ "epoch": 1.4442126379137412,
1614
+ "grad_norm": 0.07602677494287491,
1615
+ "learning_rate": 3.794172447812785e-05,
1616
+ "loss": 0.0184,
1617
+ "step": 2250
1618
+ },
1619
+ {
1620
+ "epoch": 1.4506318956870612,
1621
+ "grad_norm": 0.08735393732786179,
1622
+ "learning_rate": 3.7129919933205536e-05,
1623
+ "loss": 0.0251,
1624
+ "step": 2260
1625
+ },
1626
+ {
1627
+ "epoch": 1.4570511534603812,
1628
+ "grad_norm": 0.04306063801050186,
1629
+ "learning_rate": 3.6324909785412445e-05,
1630
+ "loss": 0.0183,
1631
+ "step": 2270
1632
+ },
1633
+ {
1634
+ "epoch": 1.4634704112337011,
1635
+ "grad_norm": 0.05602416768670082,
1636
+ "learning_rate": 3.552678103254838e-05,
1637
+ "loss": 0.0229,
1638
+ "step": 2280
1639
+ },
1640
+ {
1641
+ "epoch": 1.4698896690070211,
1642
+ "grad_norm": 0.09133511781692505,
1643
+ "learning_rate": 3.4735619928737764e-05,
1644
+ "loss": 0.0211,
1645
+ "step": 2290
1646
+ },
1647
+ {
1648
+ "epoch": 1.476308926780341,
1649
+ "grad_norm": 0.10781540721654892,
1650
+ "learning_rate": 3.395151197510804e-05,
1651
+ "loss": 0.0198,
1652
+ "step": 2300
1653
+ },
1654
+ {
1655
+ "epoch": 1.482728184553661,
1656
+ "grad_norm": 0.06286901980638504,
1657
+ "learning_rate": 3.3174541910549784e-05,
1658
+ "loss": 0.0221,
1659
+ "step": 2310
1660
+ },
1661
+ {
1662
+ "epoch": 1.4891474423269808,
1663
+ "grad_norm": 0.046533193439245224,
1664
+ "learning_rate": 3.2404793702558636e-05,
1665
+ "loss": 0.0188,
1666
+ "step": 2320
1667
+ },
1668
+ {
1669
+ "epoch": 1.495566700100301,
1670
+ "grad_norm": 0.034077636897563934,
1671
+ "learning_rate": 3.1642350538161045e-05,
1672
+ "loss": 0.017,
1673
+ "step": 2330
1674
+ },
1675
+ {
1676
+ "epoch": 1.5019859578736208,
1677
+ "grad_norm": 0.053730156272649765,
1678
+ "learning_rate": 3.088729481492424e-05,
1679
+ "loss": 0.0204,
1680
+ "step": 2340
1681
+ },
1682
+ {
1683
+ "epoch": 1.508405215646941,
1684
+ "grad_norm": 0.060676686465740204,
1685
+ "learning_rate": 3.0139708132051424e-05,
1686
+ "loss": 0.0201,
1687
+ "step": 2350
1688
+ },
1689
+ {
1690
+ "epoch": 1.5148244734202607,
1691
+ "grad_norm": 0.09910279512405396,
1692
+ "learning_rate": 2.939967128156328e-05,
1693
+ "loss": 0.0173,
1694
+ "step": 2360
1695
+ },
1696
+ {
1697
+ "epoch": 1.5212437311935807,
1698
+ "grad_norm": 0.0654776319861412,
1699
+ "learning_rate": 2.866726423956687e-05,
1700
+ "loss": 0.0233,
1701
+ "step": 2370
1702
+ },
1703
+ {
1704
+ "epoch": 1.5276629889669007,
1705
+ "grad_norm": 0.08738186955451965,
1706
+ "learning_rate": 2.794256615761247e-05,
1707
+ "loss": 0.0212,
1708
+ "step": 2380
1709
+ },
1710
+ {
1711
+ "epoch": 1.5340822467402206,
1712
+ "grad_norm": 0.12039466947317123,
1713
+ "learning_rate": 2.7225655354139677e-05,
1714
+ "loss": 0.0193,
1715
+ "step": 2390
1716
+ },
1717
+ {
1718
+ "epoch": 1.5405015045135406,
1719
+ "grad_norm": 0.12398708611726761,
1720
+ "learning_rate": 2.6516609306013462e-05,
1721
+ "loss": 0.024,
1722
+ "step": 2400
1723
+ },
1724
+ {
1725
+ "epoch": 1.5469207622868606,
1726
+ "grad_norm": 0.09554693102836609,
1727
+ "learning_rate": 2.5815504640151267e-05,
1728
+ "loss": 0.0195,
1729
+ "step": 2410
1730
+ },
1731
+ {
1732
+ "epoch": 1.5533400200601806,
1733
+ "grad_norm": 0.26604852080345154,
1734
+ "learning_rate": 2.512241712524185e-05,
1735
+ "loss": 0.0277,
1736
+ "step": 2420
1737
+ },
1738
+ {
1739
+ "epoch": 1.5597592778335005,
1740
+ "grad_norm": 0.08400601893663406,
1741
+ "learning_rate": 2.443742166355695e-05,
1742
+ "loss": 0.0267,
1743
+ "step": 2430
1744
+ },
1745
+ {
1746
+ "epoch": 1.5661785356068205,
1747
+ "grad_norm": 0.062076788395643234,
1748
+ "learning_rate": 2.3760592282856565e-05,
1749
+ "loss": 0.0209,
1750
+ "step": 2440
1751
+ },
1752
+ {
1753
+ "epoch": 1.5725977933801403,
1754
+ "grad_norm": 0.10021471977233887,
1755
+ "learning_rate": 2.309200212838878e-05,
1756
+ "loss": 0.0225,
1757
+ "step": 2450
1758
+ },
1759
+ {
1760
+ "epoch": 1.5790170511534605,
1761
+ "grad_norm": 0.06898768991231918,
1762
+ "learning_rate": 2.2431723454984778e-05,
1763
+ "loss": 0.0175,
1764
+ "step": 2460
1765
+ },
1766
+ {
1767
+ "epoch": 1.5854363089267802,
1768
+ "grad_norm": 0.06565247476100922,
1769
+ "learning_rate": 2.1779827619250458e-05,
1770
+ "loss": 0.019,
1771
+ "step": 2470
1772
+ },
1773
+ {
1774
+ "epoch": 1.5918555667001004,
1775
+ "grad_norm": 0.10120698809623718,
1776
+ "learning_rate": 2.1136385071854715e-05,
1777
+ "loss": 0.0214,
1778
+ "step": 2480
1779
+ },
1780
+ {
1781
+ "epoch": 1.5982748244734202,
1782
+ "grad_norm": 0.03913561999797821,
1783
+ "learning_rate": 2.050146534991587e-05,
1784
+ "loss": 0.0214,
1785
+ "step": 2490
1786
+ },
1787
+ {
1788
+ "epoch": 1.6046940822467404,
1789
+ "grad_norm": 0.07003747671842575,
1790
+ "learning_rate": 1.987513706948678e-05,
1791
+ "loss": 0.0175,
1792
+ "step": 2500
1793
+ },
1794
+ {
1795
+ "epoch": 1.6046940822467404,
1796
+ "eval_loss": 0.04088287055492401,
1797
+ "eval_runtime": 129.5987,
1798
+ "eval_samples_per_second": 10.147,
1799
+ "eval_steps_per_second": 10.147,
1800
+ "step": 2500
1801
+ },
1802
+ {
1803
+ "epoch": 1.6111133400200601,
1804
+ "grad_norm": 0.06662087887525558,
1805
+ "learning_rate": 1.9257467918139428e-05,
1806
+ "loss": 0.0212,
1807
+ "step": 2510
1808
+ },
1809
+ {
1810
+ "epoch": 1.61753259779338,
1811
+ "grad_norm": 0.10407735407352448,
1812
+ "learning_rate": 1.8648524647649925e-05,
1813
+ "loss": 0.0227,
1814
+ "step": 2520
1815
+ },
1816
+ {
1817
+ "epoch": 1.6239518555667,
1818
+ "grad_norm": 0.048161495476961136,
1819
+ "learning_rate": 1.8048373066784575e-05,
1820
+ "loss": 0.0193,
1821
+ "step": 2530
1822
+ },
1823
+ {
1824
+ "epoch": 1.63037111334002,
1825
+ "grad_norm": 0.04323771968483925,
1826
+ "learning_rate": 1.7457078034188068e-05,
1827
+ "loss": 0.0184,
1828
+ "step": 2540
1829
+ },
1830
+ {
1831
+ "epoch": 1.63679037111334,
1832
+ "grad_norm": 0.030361974611878395,
1833
+ "learning_rate": 1.687470345137383e-05,
1834
+ "loss": 0.0161,
1835
+ "step": 2550
1836
+ },
1837
+ {
1838
+ "epoch": 1.64320962888666,
1839
+ "grad_norm": 0.064698725938797,
1840
+ "learning_rate": 1.63013122558185e-05,
1841
+ "loss": 0.0218,
1842
+ "step": 2560
1843
+ },
1844
+ {
1845
+ "epoch": 1.64962888665998,
1846
+ "grad_norm": 0.04122168570756912,
1847
+ "learning_rate": 1.5736966414160103e-05,
1848
+ "loss": 0.0205,
1849
+ "step": 2570
1850
+ },
1851
+ {
1852
+ "epoch": 1.6560481444333,
1853
+ "grad_norm": 0.0699082463979721,
1854
+ "learning_rate": 1.5181726915501272e-05,
1855
+ "loss": 0.0228,
1856
+ "step": 2580
1857
+ },
1858
+ {
1859
+ "epoch": 1.66246740220662,
1860
+ "grad_norm": 0.08534803241491318,
1861
+ "learning_rate": 1.4635653764818169e-05,
1862
+ "loss": 0.0203,
1863
+ "step": 2590
1864
+ },
1865
+ {
1866
+ "epoch": 1.6688866599799397,
1867
+ "grad_norm": 0.04532073438167572,
1868
+ "learning_rate": 1.4098805976475704e-05,
1869
+ "loss": 0.0219,
1870
+ "step": 2600
1871
+ },
1872
+ {
1873
+ "epoch": 1.6753059177532599,
1874
+ "grad_norm": 0.06504928320646286,
1875
+ "learning_rate": 1.3571241567849856e-05,
1876
+ "loss": 0.0166,
1877
+ "step": 2610
1878
+ },
1879
+ {
1880
+ "epoch": 1.6817251755265796,
1881
+ "grad_norm": 0.1507658064365387,
1882
+ "learning_rate": 1.3053017553057656e-05,
1883
+ "loss": 0.0217,
1884
+ "step": 2620
1885
+ },
1886
+ {
1887
+ "epoch": 1.6881444332998998,
1888
+ "grad_norm": 0.05026421695947647,
1889
+ "learning_rate": 1.2544189936795715e-05,
1890
+ "loss": 0.0174,
1891
+ "step": 2630
1892
+ },
1893
+ {
1894
+ "epoch": 1.6945636910732196,
1895
+ "grad_norm": 0.07838805764913559,
1896
+ "learning_rate": 1.204481370828765e-05,
1897
+ "loss": 0.0188,
1898
+ "step": 2640
1899
+ },
1900
+ {
1901
+ "epoch": 1.7009829488465398,
1902
+ "grad_norm": 0.03739321231842041,
1903
+ "learning_rate": 1.1554942835341565e-05,
1904
+ "loss": 0.0162,
1905
+ "step": 2650
1906
+ },
1907
+ {
1908
+ "epoch": 1.7074022066198595,
1909
+ "grad_norm": 0.07961956411600113,
1910
+ "learning_rate": 1.1074630258517538e-05,
1911
+ "loss": 0.0186,
1912
+ "step": 2660
1913
+ },
1914
+ {
1915
+ "epoch": 1.7138214643931795,
1916
+ "grad_norm": 0.047265585511922836,
1917
+ "learning_rate": 1.0603927885406451e-05,
1918
+ "loss": 0.0211,
1919
+ "step": 2670
1920
+ },
1921
+ {
1922
+ "epoch": 1.7202407221664995,
1923
+ "grad_norm": 0.08342643082141876,
1924
+ "learning_rate": 1.0142886585020218e-05,
1925
+ "loss": 0.0197,
1926
+ "step": 2680
1927
+ },
1928
+ {
1929
+ "epoch": 1.7266599799398195,
1930
+ "grad_norm": 0.0401916429400444,
1931
+ "learning_rate": 9.691556182294392e-06,
1932
+ "loss": 0.0184,
1933
+ "step": 2690
1934
+ },
1935
+ {
1936
+ "epoch": 1.7330792377131394,
1937
+ "grad_norm": 0.10155277699232101,
1938
+ "learning_rate": 9.249985452703557e-06,
1939
+ "loss": 0.0199,
1940
+ "step": 2700
1941
+ },
1942
+ {
1943
+ "epoch": 1.7394984954864594,
1944
+ "grad_norm": 0.048305802047252655,
1945
+ "learning_rate": 8.81822211699016e-06,
1946
+ "loss": 0.0184,
1947
+ "step": 2710
1948
+ },
1949
+ {
1950
+ "epoch": 1.7459177532597794,
1951
+ "grad_norm": 0.055666640400886536,
1952
+ "learning_rate": 8.396312836007259e-06,
1953
+ "loss": 0.018,
1954
+ "step": 2720
1955
+ },
1956
+ {
1957
+ "epoch": 1.7523370110330991,
1958
+ "grad_norm": 0.08541178703308105,
1959
+ "learning_rate": 7.984303205675924e-06,
1960
+ "loss": 0.0233,
1961
+ "step": 2730
1962
+ },
1963
+ {
1964
+ "epoch": 1.7587562688064193,
1965
+ "grad_norm": 0.07454168796539307,
1966
+ "learning_rate": 7.582237752057608e-06,
1967
+ "loss": 0.0207,
1968
+ "step": 2740
1969
+ },
1970
+ {
1971
+ "epoch": 1.765175526579739,
1972
+ "grad_norm": 0.04274304583668709,
1973
+ "learning_rate": 7.19015992654225e-06,
1974
+ "loss": 0.0207,
1975
+ "step": 2750
1976
+ },
1977
+ {
1978
+ "epoch": 1.7715947843530593,
1979
+ "grad_norm": 0.03931812569499016,
1980
+ "learning_rate": 6.808112101152419e-06,
1981
+ "loss": 0.0187,
1982
+ "step": 2760
1983
+ },
1984
+ {
1985
+ "epoch": 1.778014042126379,
1986
+ "grad_norm": 0.04860474541783333,
1987
+ "learning_rate": 6.436135563964196e-06,
1988
+ "loss": 0.0208,
1989
+ "step": 2770
1990
+ },
1991
+ {
1992
+ "epoch": 1.7844332998996992,
1993
+ "grad_norm": 0.05222581326961517,
1994
+ "learning_rate": 6.074270514645109e-06,
1995
+ "loss": 0.0241,
1996
+ "step": 2780
1997
+ },
1998
+ {
1999
+ "epoch": 1.790852557673019,
2000
+ "grad_norm": 0.07665343582630157,
2001
+ "learning_rate": 5.722556060109751e-06,
2002
+ "loss": 0.0232,
2003
+ "step": 2790
2004
+ },
2005
+ {
2006
+ "epoch": 1.7972718154463392,
2007
+ "grad_norm": 0.05370553582906723,
2008
+ "learning_rate": 5.381030210293503e-06,
2009
+ "loss": 0.0158,
2010
+ "step": 2800
2011
+ },
2012
+ {
2013
+ "epoch": 1.803691073219659,
2014
+ "grad_norm": 0.036142729222774506,
2015
+ "learning_rate": 5.049729874044762e-06,
2016
+ "loss": 0.0172,
2017
+ "step": 2810
2018
+ },
2019
+ {
2020
+ "epoch": 1.810110330992979,
2021
+ "grad_norm": 0.03157337009906769,
2022
+ "learning_rate": 4.7286908551361755e-06,
2023
+ "loss": 0.0181,
2024
+ "step": 2820
2025
+ },
2026
+ {
2027
+ "epoch": 1.8165295887662989,
2028
+ "grad_norm": 0.04949560761451721,
2029
+ "learning_rate": 4.417947848395332e-06,
2030
+ "loss": 0.0189,
2031
+ "step": 2830
2032
+ },
2033
+ {
2034
+ "epoch": 1.8229488465396189,
2035
+ "grad_norm": 0.07635015994310379,
2036
+ "learning_rate": 4.117534435955261e-06,
2037
+ "loss": 0.0214,
2038
+ "step": 2840
2039
+ },
2040
+ {
2041
+ "epoch": 1.8293681043129388,
2042
+ "grad_norm": 0.028284436091780663,
2043
+ "learning_rate": 3.827483083625238e-06,
2044
+ "loss": 0.0202,
2045
+ "step": 2850
2046
+ },
2047
+ {
2048
+ "epoch": 1.8357873620862588,
2049
+ "grad_norm": 0.07148082554340363,
2050
+ "learning_rate": 3.5478251373821103e-06,
2051
+ "loss": 0.0189,
2052
+ "step": 2860
2053
+ },
2054
+ {
2055
+ "epoch": 1.8422066198595788,
2056
+ "grad_norm": 0.03399994224309921,
2057
+ "learning_rate": 3.2785908199828073e-06,
2058
+ "loss": 0.0148,
2059
+ "step": 2870
2060
+ },
2061
+ {
2062
+ "epoch": 1.8486258776328985,
2063
+ "grad_norm": 0.05979405716061592,
2064
+ "learning_rate": 3.0198092276981004e-06,
2065
+ "loss": 0.0191,
2066
+ "step": 2880
2067
+ },
2068
+ {
2069
+ "epoch": 1.8550451354062187,
2070
+ "grad_norm": 0.03924340382218361,
2071
+ "learning_rate": 2.7715083271681706e-06,
2072
+ "loss": 0.02,
2073
+ "step": 2890
2074
+ },
2075
+ {
2076
+ "epoch": 1.8614643931795385,
2077
+ "grad_norm": 0.05604667589068413,
2078
+ "learning_rate": 2.5337149523802615e-06,
2079
+ "loss": 0.0198,
2080
+ "step": 2900
2081
+ },
2082
+ {
2083
+ "epoch": 1.8678836509528587,
2084
+ "grad_norm": 0.050481703132390976,
2085
+ "learning_rate": 2.306454801768676e-06,
2086
+ "loss": 0.0183,
2087
+ "step": 2910
2088
+ },
2089
+ {
2090
+ "epoch": 1.8743029087261784,
2091
+ "grad_norm": 0.05771298334002495,
2092
+ "learning_rate": 2.0897524354375753e-06,
2093
+ "loss": 0.0212,
2094
+ "step": 2920
2095
+ },
2096
+ {
2097
+ "epoch": 1.8807221664994986,
2098
+ "grad_norm": 0.05019890144467354,
2099
+ "learning_rate": 1.8836312725067474e-06,
2100
+ "loss": 0.0162,
2101
+ "step": 2930
2102
+ },
2103
+ {
2104
+ "epoch": 1.8871414242728184,
2105
+ "grad_norm": 0.08003148436546326,
2106
+ "learning_rate": 1.6881135885806753e-06,
2107
+ "loss": 0.0251,
2108
+ "step": 2940
2109
+ },
2110
+ {
2111
+ "epoch": 1.8935606820461384,
2112
+ "grad_norm": 0.04569955915212631,
2113
+ "learning_rate": 1.5032205133412192e-06,
2114
+ "loss": 0.0184,
2115
+ "step": 2950
2116
+ },
2117
+ {
2118
+ "epoch": 1.8999799398194583,
2119
+ "grad_norm": 0.02558874897658825,
2120
+ "learning_rate": 1.3289720282641306e-06,
2121
+ "loss": 0.0194,
2122
+ "step": 2960
2123
+ },
2124
+ {
2125
+ "epoch": 1.9063991975927783,
2126
+ "grad_norm": 0.03270651400089264,
2127
+ "learning_rate": 1.1653869644596027e-06,
2128
+ "loss": 0.0178,
2129
+ "step": 2970
2130
+ },
2131
+ {
2132
+ "epoch": 1.9128184553660983,
2133
+ "grad_norm": 0.041952360421419144,
2134
+ "learning_rate": 1.0124830006372432e-06,
2135
+ "loss": 0.0226,
2136
+ "step": 2980
2137
+ },
2138
+ {
2139
+ "epoch": 1.9192377131394183,
2140
+ "grad_norm": 0.02816896326839924,
2141
+ "learning_rate": 8.702766611954793e-07,
2142
+ "loss": 0.0154,
2143
+ "step": 2990
2144
+ },
2145
+ {
2146
+ "epoch": 1.9256569709127382,
2147
+ "grad_norm": 0.04016564413905144,
2148
+ "learning_rate": 7.387833144358092e-07,
2149
+ "loss": 0.0181,
2150
+ "step": 3000
2151
+ },
2152
+ {
2153
+ "epoch": 1.9256569709127382,
2154
+ "eval_loss": 0.03883149474859238,
2155
+ "eval_runtime": 128.8321,
2156
+ "eval_samples_per_second": 10.207,
2157
+ "eval_steps_per_second": 10.207,
2158
+ "step": 3000
2159
+ },
2160
+ {
2161
+ "epoch": 1.9320762286860582,
2162
+ "grad_norm": 0.04140494018793106,
2163
+ "learning_rate": 6.180171709018967e-07,
2164
+ "loss": 0.0185,
2165
+ "step": 3010
2166
+ },
2167
+ {
2168
+ "epoch": 1.9384954864593782,
2169
+ "grad_norm": 0.05678441375494003,
2170
+ "learning_rate": 5.079912818438115e-07,
2171
+ "loss": 0.0166,
2172
+ "step": 3020
2173
+ },
2174
+ {
2175
+ "epoch": 1.944914744232698,
2176
+ "grad_norm": 0.057847701013088226,
2177
+ "learning_rate": 4.087175378076791e-07,
2178
+ "loss": 0.0165,
2179
+ "step": 3030
2180
+ },
2181
+ {
2182
+ "epoch": 1.9513340020060181,
2183
+ "grad_norm": 0.09393943846225739,
2184
+ "learning_rate": 3.2020666735053105e-07,
2185
+ "loss": 0.0214,
2186
+ "step": 3040
2187
+ },
2188
+ {
2189
+ "epoch": 1.957753259779338,
2190
+ "grad_norm": 0.05397270992398262,
2191
+ "learning_rate": 2.424682358809882e-07,
2192
+ "loss": 0.0166,
2193
+ "step": 3050
2194
+ },
2195
+ {
2196
+ "epoch": 1.964172517552658,
2197
+ "grad_norm": 0.09389074146747589,
2198
+ "learning_rate": 1.7551064462543176e-07,
2199
+ "loss": 0.0172,
2200
+ "step": 3060
2201
+ },
2202
+ {
2203
+ "epoch": 1.9705917753259778,
2204
+ "grad_norm": 0.043656717985868454,
2205
+ "learning_rate": 1.1934112972009638e-07,
2206
+ "loss": 0.0178,
2207
+ "step": 3070
2208
+ },
2209
+ {
2210
+ "epoch": 1.977011033099298,
2211
+ "grad_norm": 0.09749849885702133,
2212
+ "learning_rate": 7.396576142912892e-08,
2213
+ "loss": 0.0169,
2214
+ "step": 3080
2215
+ },
2216
+ {
2217
+ "epoch": 1.9834302908726178,
2218
+ "grad_norm": 0.06255625933408737,
2219
+ "learning_rate": 3.9389443488457856e-08,
2220
+ "loss": 0.0209,
2221
+ "step": 3090
2222
+ },
2223
+ {
2224
+ "epoch": 1.9898495486459378,
2225
+ "grad_norm": 0.052814945578575134,
2226
+ "learning_rate": 1.5615912575928092e-08,
2227
+ "loss": 0.0191,
2228
+ "step": 3100
2229
+ },
2230
+ {
2231
+ "epoch": 1.9962688064192577,
2232
+ "grad_norm": 0.08855212479829788,
2233
+ "learning_rate": 2.6477379074796305e-09,
2234
+ "loss": 0.0184,
2235
+ "step": 3110
2236
+ }
2237
+ ],
2238
+ "logging_steps": 10,
2239
+ "max_steps": 3116,
2240
+ "num_input_tokens_seen": 0,
2241
+ "num_train_epochs": 2,
2242
+ "save_steps": 500,
2243
+ "stateful_callbacks": {
2244
+ "TrainerControl": {
2245
+ "args": {
2246
+ "should_epoch_stop": false,
2247
+ "should_evaluate": false,
2248
+ "should_log": false,
2249
+ "should_save": true,
2250
+ "should_training_stop": true
2251
+ },
2252
+ "attributes": {}
2253
+ }
2254
+ },
2255
+ "total_flos": 1.712259894975867e+18,
2256
+ "train_batch_size": 1,
2257
+ "trial_name": null,
2258
+ "trial_params": null
2259
+ }
checkpoint-3116/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cac3f796d8e8ed78082f710e5c9ee0db63889906ddeefcc55981584c04b6c12
3
+ size 5624
checkpoint-3116/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
final-adapter/README.md ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-7B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
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 0.19.1
final-adapter/adapter_config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 128,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
26
+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "qalora_group_size": 16,
29
+ "r": 64,
30
+ "rank_pattern": {},
31
+ "revision": null,
32
+ "target_modules": [
33
+ "up_proj",
34
+ "k_proj",
35
+ "o_proj",
36
+ "v_proj",
37
+ "gate_proj",
38
+ "down_proj",
39
+ "q_proj"
40
+ ],
41
+ "target_parameters": null,
42
+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
44
+ "use_bdlora": null,
45
+ "use_dora": false,
46
+ "use_qalora": false,
47
+ "use_rslora": false
48
+ }
final-adapter/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7cb453fefadc9b96c6f5f72e9b3c53ec46748149127236a2cdf80a24e561d676
3
+ size 645975704
final-adapter/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }