Sai5480 commited on
Commit
ccb50f5
·
verified ·
1 Parent(s): 0b29c4f

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. README.md +207 -0
  3. adapter_config.json +41 -0
  4. adapter_model.safetensors +3 -0
  5. added_tokens.json +24 -0
  6. chat_template.jinja +54 -0
  7. checkpoint-1750/README.md +207 -0
  8. checkpoint-1750/adapter_config.json +41 -0
  9. checkpoint-1750/adapter_model.safetensors +3 -0
  10. checkpoint-1750/added_tokens.json +24 -0
  11. checkpoint-1750/chat_template.jinja +54 -0
  12. checkpoint-1750/merges.txt +0 -0
  13. checkpoint-1750/optimizer.pt +3 -0
  14. checkpoint-1750/rng_state.pth +3 -0
  15. checkpoint-1750/scheduler.pt +3 -0
  16. checkpoint-1750/special_tokens_map.json +31 -0
  17. checkpoint-1750/tokenizer.json +3 -0
  18. checkpoint-1750/tokenizer_config.json +207 -0
  19. checkpoint-1750/trainer_state.json +1259 -0
  20. checkpoint-1750/training_args.bin +3 -0
  21. checkpoint-1750/vocab.json +0 -0
  22. checkpoint-2000/README.md +207 -0
  23. checkpoint-2000/adapter_config.json +41 -0
  24. checkpoint-2000/adapter_model.safetensors +3 -0
  25. checkpoint-2000/added_tokens.json +24 -0
  26. checkpoint-2000/chat_template.jinja +54 -0
  27. checkpoint-2000/merges.txt +0 -0
  28. checkpoint-2000/optimizer.pt +3 -0
  29. checkpoint-2000/rng_state.pth +3 -0
  30. checkpoint-2000/scheduler.pt +3 -0
  31. checkpoint-2000/special_tokens_map.json +31 -0
  32. checkpoint-2000/tokenizer.json +3 -0
  33. checkpoint-2000/tokenizer_config.json +207 -0
  34. checkpoint-2000/trainer_state.json +1434 -0
  35. checkpoint-2000/training_args.bin +3 -0
  36. checkpoint-2000/vocab.json +0 -0
  37. checkpoint-2190/README.md +207 -0
  38. checkpoint-2190/adapter_config.json +41 -0
  39. checkpoint-2190/adapter_model.safetensors +3 -0
  40. checkpoint-2190/added_tokens.json +24 -0
  41. checkpoint-2190/chat_template.jinja +54 -0
  42. checkpoint-2190/merges.txt +0 -0
  43. checkpoint-2190/optimizer.pt +3 -0
  44. checkpoint-2190/rng_state.pth +3 -0
  45. checkpoint-2190/scheduler.pt +3 -0
  46. checkpoint-2190/special_tokens_map.json +31 -0
  47. checkpoint-2190/tokenizer.json +3 -0
  48. checkpoint-2190/tokenizer_config.json +207 -0
  49. checkpoint-2190/trainer_state.json +1567 -0
  50. checkpoint-2190/training_args.bin +3 -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-1750/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ checkpoint-2190/tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.16.0
adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.1,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "gate_proj",
30
+ "up_proj",
31
+ "down_proj",
32
+ "k_proj",
33
+ "v_proj",
34
+ "o_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15865247ad910ae584d24b575151e137dec2d53987a11d7af1ae4f40816988ee
3
+ size 323014168
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
+ }
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-1750/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.16.0
checkpoint-1750/adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.1,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "gate_proj",
30
+ "up_proj",
31
+ "down_proj",
32
+ "k_proj",
33
+ "v_proj",
34
+ "o_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
checkpoint-1750/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aafd5ade4ccb4275127d605f1be8e2ac78ae04c7d484f9c4369a319ba3bb47d2
3
+ size 323014168
checkpoint-1750/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-1750/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-1750/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1750/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff6dc4c8bbbff43046310ce557cb3b33fb8a1aa78a21fdca946b3d79c0d36939
3
+ size 646253819
checkpoint-1750/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b2db4b81349a009d5616e865973dadbe8e372be654278278c73cc2b2eaa52ec
3
+ size 14645
checkpoint-1750/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:399572d68a51a4203be8c991e01d70e9c4a78114f3ffd47fa5f8cabc00a75a1c
3
+ size 1465
checkpoint-1750/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-1750/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
checkpoint-1750/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-1750/trainer_state.json ADDED
@@ -0,0 +1,1259 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.9967138162594655,
6
+ "eval_steps": 500,
7
+ "global_step": 1750,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.022860408629804256,
14
+ "grad_norm": 0.31346356868743896,
15
+ "learning_rate": 4.10958904109589e-06,
16
+ "loss": 0.4615,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.04572081725960851,
21
+ "grad_norm": 0.3634890019893646,
22
+ "learning_rate": 8.675799086757991e-06,
23
+ "loss": 0.4707,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.06858122588941278,
28
+ "grad_norm": 0.26333874464035034,
29
+ "learning_rate": 1.3242009132420092e-05,
30
+ "loss": 0.3731,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.09144163451921702,
35
+ "grad_norm": 0.19899441301822662,
36
+ "learning_rate": 1.780821917808219e-05,
37
+ "loss": 0.2918,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.11430204314902129,
42
+ "grad_norm": 0.10445400327444077,
43
+ "learning_rate": 2.237442922374429e-05,
44
+ "loss": 0.1518,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.13716245177882555,
49
+ "grad_norm": 0.060141440480947495,
50
+ "learning_rate": 2.6940639269406392e-05,
51
+ "loss": 0.0826,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.1600228604086298,
56
+ "grad_norm": 0.11565729230642319,
57
+ "learning_rate": 3.1506849315068496e-05,
58
+ "loss": 0.0897,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.18288326903843405,
63
+ "grad_norm": 0.13073839247226715,
64
+ "learning_rate": 3.60730593607306e-05,
65
+ "loss": 0.0992,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.2057436776682383,
70
+ "grad_norm": 0.08385579288005829,
71
+ "learning_rate": 4.063926940639269e-05,
72
+ "loss": 0.0867,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.22860408629804257,
77
+ "grad_norm": 0.10868898034095764,
78
+ "learning_rate": 4.520547945205479e-05,
79
+ "loss": 0.1022,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.25146449492784684,
84
+ "grad_norm": 0.10515399277210236,
85
+ "learning_rate": 4.977168949771689e-05,
86
+ "loss": 0.0866,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.2743249035576511,
91
+ "grad_norm": 0.11809521168470383,
92
+ "learning_rate": 5.4337899543379e-05,
93
+ "loss": 0.0866,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.29718531218745536,
98
+ "grad_norm": 0.09987114369869232,
99
+ "learning_rate": 5.89041095890411e-05,
100
+ "loss": 0.0942,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.3200457208172596,
105
+ "grad_norm": 0.1236502081155777,
106
+ "learning_rate": 6.34703196347032e-05,
107
+ "loss": 0.0935,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.3429061294470639,
112
+ "grad_norm": 0.09345820546150208,
113
+ "learning_rate": 6.803652968036531e-05,
114
+ "loss": 0.1001,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.3657665380768681,
119
+ "grad_norm": 0.12369757890701294,
120
+ "learning_rate": 7.26027397260274e-05,
121
+ "loss": 0.0805,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.38862694670667236,
126
+ "grad_norm": 0.12654580175876617,
127
+ "learning_rate": 7.716894977168951e-05,
128
+ "loss": 0.0704,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.4114873553364766,
133
+ "grad_norm": 0.10067084431648254,
134
+ "learning_rate": 8.17351598173516e-05,
135
+ "loss": 0.0812,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.4343477639662809,
140
+ "grad_norm": 0.10523034632205963,
141
+ "learning_rate": 8.630136986301371e-05,
142
+ "loss": 0.0897,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.45720817259608515,
147
+ "grad_norm": 0.08805034309625626,
148
+ "learning_rate": 9.08675799086758e-05,
149
+ "loss": 0.1039,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.4800685812258894,
154
+ "grad_norm": 0.10564622282981873,
155
+ "learning_rate": 9.543378995433791e-05,
156
+ "loss": 0.0931,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.5029289898556937,
161
+ "grad_norm": 0.08823700249195099,
162
+ "learning_rate": 0.0001,
163
+ "loss": 0.0769,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.5257893984854979,
168
+ "grad_norm": 0.07316570729017258,
169
+ "learning_rate": 9.999364877774174e-05,
170
+ "loss": 0.0893,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.5486498071153022,
175
+ "grad_norm": 0.08555534482002258,
176
+ "learning_rate": 9.997459672448794e-05,
177
+ "loss": 0.0802,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.5715102157451064,
182
+ "grad_norm": 0.1843150109052658,
183
+ "learning_rate": 9.994284868039156e-05,
184
+ "loss": 0.0736,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.5943706243749107,
189
+ "grad_norm": 0.11401674896478653,
190
+ "learning_rate": 9.9898412711008e-05,
191
+ "loss": 0.0788,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.6172310330047149,
196
+ "grad_norm": 0.07360777258872986,
197
+ "learning_rate": 9.984130010524597e-05,
198
+ "loss": 0.0807,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.6400914416345193,
203
+ "grad_norm": 0.11163882166147232,
204
+ "learning_rate": 9.977152537249958e-05,
205
+ "loss": 0.072,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.6629518502643235,
210
+ "grad_norm": 0.12346392124891281,
211
+ "learning_rate": 9.968910623896225e-05,
212
+ "loss": 0.0712,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.6858122588941278,
217
+ "grad_norm": 0.13644632697105408,
218
+ "learning_rate": 9.95940636431234e-05,
219
+ "loss": 0.0765,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.708672667523932,
224
+ "grad_norm": 0.09245093911886215,
225
+ "learning_rate": 9.948642173044905e-05,
226
+ "loss": 0.0797,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.7315330761537362,
231
+ "grad_norm": 0.11467203497886658,
232
+ "learning_rate": 9.936620784724766e-05,
233
+ "loss": 0.0756,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.7543934847835405,
238
+ "grad_norm": 0.12245265394449234,
239
+ "learning_rate": 9.923345253372287e-05,
240
+ "loss": 0.0671,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.7772538934133447,
245
+ "grad_norm": 0.08666519820690155,
246
+ "learning_rate": 9.908818951621474e-05,
247
+ "loss": 0.0681,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.800114302043149,
252
+ "grad_norm": 0.16961519420146942,
253
+ "learning_rate": 9.89304556986317e-05,
254
+ "loss": 0.072,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.8229747106729532,
259
+ "grad_norm": 0.2313849776983261,
260
+ "learning_rate": 9.876029115307506e-05,
261
+ "loss": 0.0707,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.8458351193027576,
266
+ "grad_norm": 0.14014111459255219,
267
+ "learning_rate": 9.85777391096588e-05,
268
+ "loss": 0.0807,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.8686955279325618,
273
+ "grad_norm": 0.0991162583231926,
274
+ "learning_rate": 9.838284594552697e-05,
275
+ "loss": 0.0736,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.8915559365623661,
280
+ "grad_norm": 0.14600183069705963,
281
+ "learning_rate": 9.817566117307167e-05,
282
+ "loss": 0.073,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.9144163451921703,
287
+ "grad_norm": 0.12519070506095886,
288
+ "learning_rate": 9.79562374273544e-05,
289
+ "loss": 0.0573,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.9372767538219746,
294
+ "grad_norm": 0.14949887990951538,
295
+ "learning_rate": 9.77246304527343e-05,
296
+ "loss": 0.0691,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.9601371624517788,
301
+ "grad_norm": 0.13667669892311096,
302
+ "learning_rate": 9.748089908870627e-05,
303
+ "loss": 0.052,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.982997571081583,
308
+ "grad_norm": 0.07336350530385971,
309
+ "learning_rate": 9.722510525495286e-05,
310
+ "loss": 0.0698,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 1.004572081725961,
315
+ "grad_norm": 0.1134289801120758,
316
+ "learning_rate": 9.69573139356137e-05,
317
+ "loss": 0.0621,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 1.027432490355765,
322
+ "grad_norm": 0.11676439642906189,
323
+ "learning_rate": 9.66775931627763e-05,
324
+ "loss": 0.0474,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 1.0502928989855693,
329
+ "grad_norm": 0.14386767148971558,
330
+ "learning_rate": 9.638601399919259e-05,
331
+ "loss": 0.0496,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 1.0731533076153736,
336
+ "grad_norm": 0.16757084429264069,
337
+ "learning_rate": 9.608265052022556e-05,
338
+ "loss": 0.0493,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 1.096013716245178,
343
+ "grad_norm": 0.12976950407028198,
344
+ "learning_rate": 9.576757979503037e-05,
345
+ "loss": 0.0513,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 1.118874124874982,
350
+ "grad_norm": 0.21009308099746704,
351
+ "learning_rate": 9.544088186697515e-05,
352
+ "loss": 0.0464,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 1.1417345335047864,
357
+ "grad_norm": 0.1863221377134323,
358
+ "learning_rate": 9.5102639733306e-05,
359
+ "loss": 0.0388,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 1.1645949421345907,
364
+ "grad_norm": 0.1924988180398941,
365
+ "learning_rate": 9.475293932406162e-05,
366
+ "loss": 0.0517,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 1.1874553507643948,
371
+ "grad_norm": 0.1228746697306633,
372
+ "learning_rate": 9.439186948024297e-05,
373
+ "loss": 0.0475,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 1.210315759394199,
378
+ "grad_norm": 0.18384294211864471,
379
+ "learning_rate": 9.401952193124315e-05,
380
+ "loss": 0.046,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 1.2331761680240034,
385
+ "grad_norm": 0.1352134793996811,
386
+ "learning_rate": 9.363599127154383e-05,
387
+ "loss": 0.0454,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.2560365766538077,
392
+ "grad_norm": 0.07320581376552582,
393
+ "learning_rate": 9.324137493668352e-05,
394
+ "loss": 0.0379,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 1.278896985283612,
399
+ "grad_norm": 0.14689098298549652,
400
+ "learning_rate": 9.283577317850419e-05,
401
+ "loss": 0.0419,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 1.3017573939134162,
406
+ "grad_norm": 0.14588995277881622,
407
+ "learning_rate": 9.24192890396824e-05,
408
+ "loss": 0.0451,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 1.3246178025432205,
413
+ "grad_norm": 0.17893975973129272,
414
+ "learning_rate": 9.19920283275515e-05,
415
+ "loss": 0.0405,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 1.3474782111730248,
420
+ "grad_norm": 0.17961391806602478,
421
+ "learning_rate": 9.155409958722124e-05,
422
+ "loss": 0.0371,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 1.370338619802829,
427
+ "grad_norm": 0.18520987033843994,
428
+ "learning_rate": 9.110561407400218e-05,
429
+ "loss": 0.0447,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 1.3931990284326332,
434
+ "grad_norm": 0.14877571165561676,
435
+ "learning_rate": 9.064668572514127e-05,
436
+ "loss": 0.0429,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 1.4160594370624375,
441
+ "grad_norm": 0.1054820641875267,
442
+ "learning_rate": 9.01774311308763e-05,
443
+ "loss": 0.036,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 1.4389198456922419,
448
+ "grad_norm": 0.1029554158449173,
449
+ "learning_rate": 8.96979695048162e-05,
450
+ "loss": 0.0473,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 1.461780254322046,
455
+ "grad_norm": 0.26157063245773315,
456
+ "learning_rate": 8.920842265365503e-05,
457
+ "loss": 0.0343,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 1.4846406629518503,
462
+ "grad_norm": 0.12941773235797882,
463
+ "learning_rate": 8.870891494622709e-05,
464
+ "loss": 0.0522,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 1.5075010715816544,
469
+ "grad_norm": 0.11229275912046432,
470
+ "learning_rate": 8.819957328191117e-05,
471
+ "loss": 0.0385,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 1.5303614802114587,
476
+ "grad_norm": 0.2675265073776245,
477
+ "learning_rate": 8.76805270583919e-05,
478
+ "loss": 0.0492,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 1.553221888841263,
483
+ "grad_norm": 0.18951663374900818,
484
+ "learning_rate": 8.715190813878637e-05,
485
+ "loss": 0.0353,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 1.5760822974710673,
490
+ "grad_norm": 0.14573994278907776,
491
+ "learning_rate": 8.661385081814453e-05,
492
+ "loss": 0.0334,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 1.5989427061008716,
497
+ "grad_norm": 0.08593331277370453,
498
+ "learning_rate": 8.606649178933163e-05,
499
+ "loss": 0.0315,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 1.621803114730676,
504
+ "grad_norm": 0.20985154807567596,
505
+ "learning_rate": 8.550997010830154e-05,
506
+ "loss": 0.0369,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 1.64466352336048,
511
+ "grad_norm": 0.2964492738246918,
512
+ "learning_rate": 8.494442715876976e-05,
513
+ "loss": 0.0283,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 1.6675239319902844,
518
+ "grad_norm": 0.11921142041683197,
519
+ "learning_rate": 8.437000661629506e-05,
520
+ "loss": 0.0312,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 1.6903843406200885,
525
+ "grad_norm": 0.20576898753643036,
526
+ "learning_rate": 8.378685441177886e-05,
527
+ "loss": 0.0348,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 1.7132447492498928,
532
+ "grad_norm": 0.27900010347366333,
533
+ "learning_rate": 8.31951186943916e-05,
534
+ "loss": 0.0294,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 1.736105157879697,
539
+ "grad_norm": 0.18257662653923035,
540
+ "learning_rate": 8.259494979393563e-05,
541
+ "loss": 0.0264,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 1.7589655665095014,
546
+ "grad_norm": 0.16247795522212982,
547
+ "learning_rate": 8.198650018265415e-05,
548
+ "loss": 0.0385,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 1.7818259751393057,
553
+ "grad_norm": 0.18227055668830872,
554
+ "learning_rate": 8.136992443649571e-05,
555
+ "loss": 0.0333,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 1.8046863837691098,
560
+ "grad_norm": 0.1283257156610489,
561
+ "learning_rate": 8.074537919584443e-05,
562
+ "loss": 0.0373,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 1.8275467923989142,
567
+ "grad_norm": 0.21598616242408752,
568
+ "learning_rate": 8.011302312572566e-05,
569
+ "loss": 0.0427,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 1.8504072010287183,
574
+ "grad_norm": 0.18352819979190826,
575
+ "learning_rate": 7.947301687549731e-05,
576
+ "loss": 0.04,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 1.8732676096585226,
581
+ "grad_norm": 0.28778374195098877,
582
+ "learning_rate": 7.882552303803705e-05,
583
+ "loss": 0.035,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 1.8961280182883269,
588
+ "grad_norm": 0.11134298145771027,
589
+ "learning_rate": 7.817070610843579e-05,
590
+ "loss": 0.0281,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 1.9189884269181312,
595
+ "grad_norm": 0.2428896129131317,
596
+ "learning_rate": 7.750873244220787e-05,
597
+ "loss": 0.0326,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 1.9418488355479355,
602
+ "grad_norm": 0.21082095801830292,
603
+ "learning_rate": 7.68397702130286e-05,
604
+ "loss": 0.0316,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 1.9647092441777396,
609
+ "grad_norm": 0.14655885100364685,
610
+ "learning_rate": 7.616398937000999e-05,
611
+ "loss": 0.0292,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 1.987569652807544,
616
+ "grad_norm": 0.16203175485134125,
617
+ "learning_rate": 7.548156159452531e-05,
618
+ "loss": 0.0272,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 2.009144163451922,
623
+ "grad_norm": 0.1306605190038681,
624
+ "learning_rate": 7.479266025659365e-05,
625
+ "loss": 0.0209,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 2.032004572081726,
630
+ "grad_norm": 0.13496187329292297,
631
+ "learning_rate": 7.409746037083548e-05,
632
+ "loss": 0.0138,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 2.05486498071153,
637
+ "grad_norm": 0.18669717013835907,
638
+ "learning_rate": 7.339613855201032e-05,
639
+ "loss": 0.0149,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 2.0777253893413343,
644
+ "grad_norm": 0.1247486025094986,
645
+ "learning_rate": 7.2688872970148e-05,
646
+ "loss": 0.0128,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 2.1005857979711386,
651
+ "grad_norm": 0.1156638115644455,
652
+ "learning_rate": 7.197584330528478e-05,
653
+ "loss": 0.0117,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 2.123446206600943,
658
+ "grad_norm": 0.03096736967563629,
659
+ "learning_rate": 7.125723070181576e-05,
660
+ "loss": 0.0143,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 2.1463066152307473,
665
+ "grad_norm": 0.04739869013428688,
666
+ "learning_rate": 7.053321772247545e-05,
667
+ "loss": 0.0099,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 2.1691670238605516,
672
+ "grad_norm": 0.1429280787706375,
673
+ "learning_rate": 6.980398830195785e-05,
674
+ "loss": 0.0109,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 2.192027432490356,
679
+ "grad_norm": 0.2534593343734741,
680
+ "learning_rate": 6.906972770018802e-05,
681
+ "loss": 0.0163,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 2.2148878411201602,
686
+ "grad_norm": 0.1354377567768097,
687
+ "learning_rate": 6.833062245525705e-05,
688
+ "loss": 0.0147,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 2.237748249749964,
693
+ "grad_norm": 0.06828989833593369,
694
+ "learning_rate": 6.758686033603225e-05,
695
+ "loss": 0.0201,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 2.2606086583797684,
700
+ "grad_norm": 0.14169731736183167,
701
+ "learning_rate": 6.683863029445469e-05,
702
+ "loss": 0.0133,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 2.2834690670095728,
707
+ "grad_norm": 0.04132571816444397,
708
+ "learning_rate": 6.608612241753614e-05,
709
+ "loss": 0.0097,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 2.306329475639377,
714
+ "grad_norm": 0.3469948172569275,
715
+ "learning_rate": 6.532952787906771e-05,
716
+ "loss": 0.0139,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 2.3291898842691814,
721
+ "grad_norm": 0.04748811200261116,
722
+ "learning_rate": 6.45690388910523e-05,
723
+ "loss": 0.0153,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 2.3520502928989857,
728
+ "grad_norm": 0.1330500990152359,
729
+ "learning_rate": 6.380484865487347e-05,
730
+ "loss": 0.015,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 2.3749107015287896,
735
+ "grad_norm": 0.14051929116249084,
736
+ "learning_rate": 6.303715131221264e-05,
737
+ "loss": 0.0069,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 2.397771110158594,
742
+ "grad_norm": 0.07501324266195297,
743
+ "learning_rate": 6.22661418957279e-05,
744
+ "loss": 0.0101,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 2.420631518788398,
749
+ "grad_norm": 0.1099422499537468,
750
+ "learning_rate": 6.149201627950593e-05,
751
+ "loss": 0.013,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 2.4434919274182025,
756
+ "grad_norm": 0.09372354298830032,
757
+ "learning_rate": 6.071497112930047e-05,
758
+ "loss": 0.0126,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 2.466352336048007,
763
+ "grad_norm": 0.09480420500040054,
764
+ "learning_rate": 5.99352038525697e-05,
765
+ "loss": 0.0127,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 2.489212744677811,
770
+ "grad_norm": 0.1486363410949707,
771
+ "learning_rate": 5.9152912548324976e-05,
772
+ "loss": 0.016,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 2.5120731533076155,
777
+ "grad_norm": 0.10003609955310822,
778
+ "learning_rate": 5.836829595680406e-05,
779
+ "loss": 0.0128,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 2.53493356193742,
784
+ "grad_norm": 0.08636961132287979,
785
+ "learning_rate": 5.758155340898137e-05,
786
+ "loss": 0.0119,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 2.557793970567224,
791
+ "grad_norm": 0.11953787505626678,
792
+ "learning_rate": 5.679288477592815e-05,
793
+ "loss": 0.0097,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 2.580654379197028,
798
+ "grad_norm": 0.06493639945983887,
799
+ "learning_rate": 5.600249041803545e-05,
800
+ "loss": 0.0105,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 2.6035147878268323,
805
+ "grad_norm": 0.12084943801164627,
806
+ "learning_rate": 5.5210571134112824e-05,
807
+ "loss": 0.0122,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 2.6263751964566366,
812
+ "grad_norm": 0.13135117292404175,
813
+ "learning_rate": 5.44173281103756e-05,
814
+ "loss": 0.0142,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 2.649235605086441,
819
+ "grad_norm": 0.137589693069458,
820
+ "learning_rate": 5.362296286933371e-05,
821
+ "loss": 0.0126,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 2.6720960137162453,
826
+ "grad_norm": 0.058550190180540085,
827
+ "learning_rate": 5.282767721859516e-05,
828
+ "loss": 0.0076,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 2.6949564223460496,
833
+ "grad_norm": 0.07393407076597214,
834
+ "learning_rate": 5.203167319959702e-05,
835
+ "loss": 0.012,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 2.7178168309758535,
840
+ "grad_norm": 0.1508752703666687,
841
+ "learning_rate": 5.123515303627698e-05,
842
+ "loss": 0.009,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 2.740677239605658,
847
+ "grad_norm": 0.1534973382949829,
848
+ "learning_rate": 5.0438319083698714e-05,
849
+ "loss": 0.0101,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 2.763537648235462,
854
+ "grad_norm": 0.14507421851158142,
855
+ "learning_rate": 4.9641373776643616e-05,
856
+ "loss": 0.0081,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 2.7863980568652664,
861
+ "grad_norm": 0.1377381533384323,
862
+ "learning_rate": 4.8844519578182604e-05,
863
+ "loss": 0.0109,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 2.8092584654950707,
868
+ "grad_norm": 0.2066635936498642,
869
+ "learning_rate": 4.804795892824056e-05,
870
+ "loss": 0.0135,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 2.832118874124875,
875
+ "grad_norm": 0.05857717618346214,
876
+ "learning_rate": 4.7251894192166654e-05,
877
+ "loss": 0.0076,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 2.8549792827546794,
882
+ "grad_norm": 0.168072909116745,
883
+ "learning_rate": 4.645652760932376e-05,
884
+ "loss": 0.009,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 2.8778396913844837,
889
+ "grad_norm": 0.17164477705955505,
890
+ "learning_rate": 4.566206124170963e-05,
891
+ "loss": 0.0112,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 2.900700100014288,
896
+ "grad_norm": 0.15097732841968536,
897
+ "learning_rate": 4.486869692262337e-05,
898
+ "loss": 0.0094,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 2.923560508644092,
903
+ "grad_norm": 0.0871570035815239,
904
+ "learning_rate": 4.407663620538985e-05,
905
+ "loss": 0.0101,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 2.946420917273896,
910
+ "grad_norm": 0.13305386900901794,
911
+ "learning_rate": 4.328608031215539e-05,
912
+ "loss": 0.0092,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 2.9692813259037005,
917
+ "grad_norm": 0.23256619274616241,
918
+ "learning_rate": 4.249723008276737e-05,
919
+ "loss": 0.015,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 2.992141734533505,
924
+ "grad_norm": 0.10129191726446152,
925
+ "learning_rate": 4.171028592375125e-05,
926
+ "loss": 0.0124,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 3.0137162451778825,
931
+ "grad_norm": 0.15339592099189758,
932
+ "learning_rate": 4.092544775739735e-05,
933
+ "loss": 0.0067,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 3.036576653807687,
938
+ "grad_norm": 0.03447636589407921,
939
+ "learning_rate": 4.0142914970970926e-05,
940
+ "loss": 0.0047,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 3.059437062437491,
945
+ "grad_norm": 0.056881342083215714,
946
+ "learning_rate": 3.9362886366058025e-05,
947
+ "loss": 0.0074,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 3.0822974710672955,
952
+ "grad_norm": 0.22134284675121307,
953
+ "learning_rate": 3.858556010806013e-05,
954
+ "loss": 0.004,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 3.1051578796970998,
959
+ "grad_norm": 0.12356160581111908,
960
+ "learning_rate": 3.781113367585053e-05,
961
+ "loss": 0.0048,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 3.1280182883269037,
966
+ "grad_norm": 0.03940752521157265,
967
+ "learning_rate": 3.703980381160497e-05,
968
+ "loss": 0.003,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 3.150878696956708,
973
+ "grad_norm": 0.09747901558876038,
974
+ "learning_rate": 3.627176647081954e-05,
975
+ "loss": 0.0056,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 3.1737391055865123,
980
+ "grad_norm": 0.016509221866726875,
981
+ "learning_rate": 3.550721677252839e-05,
982
+ "loss": 0.0017,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 3.1965995142163166,
987
+ "grad_norm": 0.15755465626716614,
988
+ "learning_rate": 3.4746348949733965e-05,
989
+ "loss": 0.003,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 3.219459922846121,
994
+ "grad_norm": 0.017669400200247765,
995
+ "learning_rate": 3.398935630006236e-05,
996
+ "loss": 0.0031,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 3.2423203314759252,
1001
+ "grad_norm": 0.07502660900354385,
1002
+ "learning_rate": 3.32364311366562e-05,
1003
+ "loss": 0.005,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 3.2651807401057296,
1008
+ "grad_norm": 0.4353109300136566,
1009
+ "learning_rate": 3.248776473931774e-05,
1010
+ "loss": 0.0058,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 3.288041148735534,
1015
+ "grad_norm": 0.06076102331280708,
1016
+ "learning_rate": 3.174354730591447e-05,
1017
+ "loss": 0.0055,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 3.3109015573653378,
1022
+ "grad_norm": 0.04932214692234993,
1023
+ "learning_rate": 3.100396790405948e-05,
1024
+ "loss": 0.0041,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 3.333761965995142,
1029
+ "grad_norm": 0.12315461784601212,
1030
+ "learning_rate": 3.026921442307916e-05,
1031
+ "loss": 0.0034,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 3.3566223746249464,
1036
+ "grad_norm": 0.08378969877958298,
1037
+ "learning_rate": 2.9539473526280005e-05,
1038
+ "loss": 0.0021,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 3.3794827832547507,
1043
+ "grad_norm": 0.1416824609041214,
1044
+ "learning_rate": 2.8814930603527068e-05,
1045
+ "loss": 0.0024,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 3.402343191884555,
1050
+ "grad_norm": 0.09372381865978241,
1051
+ "learning_rate": 2.809576972414587e-05,
1052
+ "loss": 0.0023,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 3.4252036005143593,
1057
+ "grad_norm": 0.16745346784591675,
1058
+ "learning_rate": 2.738217359015981e-05,
1059
+ "loss": 0.0041,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 3.4480640091441632,
1064
+ "grad_norm": 0.1455969363451004,
1065
+ "learning_rate": 2.6674323489874843e-05,
1066
+ "loss": 0.0056,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 3.4709244177739675,
1071
+ "grad_norm": 0.07298196107149124,
1072
+ "learning_rate": 2.5972399251823488e-05,
1073
+ "loss": 0.0034,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 3.493784826403772,
1078
+ "grad_norm": 0.024875745177268982,
1079
+ "learning_rate": 2.5276579199079486e-05,
1080
+ "loss": 0.0043,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 3.516645235033576,
1085
+ "grad_norm": 0.17137651145458221,
1086
+ "learning_rate": 2.4587040103955134e-05,
1087
+ "loss": 0.0041,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 3.5395056436633805,
1092
+ "grad_norm": 0.10219382494688034,
1093
+ "learning_rate": 2.39039571430924e-05,
1094
+ "loss": 0.0037,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 3.562366052293185,
1099
+ "grad_norm": 0.05997829884290695,
1100
+ "learning_rate": 2.3227503852959453e-05,
1101
+ "loss": 0.0025,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 3.585226460922989,
1106
+ "grad_norm": 0.022572757676243782,
1107
+ "learning_rate": 2.2557852085764053e-05,
1108
+ "loss": 0.0087,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 3.6080868695527935,
1113
+ "grad_norm": 0.025689126923680305,
1114
+ "learning_rate": 2.189517196579453e-05,
1115
+ "loss": 0.0046,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 3.6309472781825978,
1120
+ "grad_norm": 0.19351957738399506,
1121
+ "learning_rate": 2.1239631846200026e-05,
1122
+ "loss": 0.0041,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 3.6538076868124016,
1127
+ "grad_norm": 0.05244070664048195,
1128
+ "learning_rate": 2.0591398266220502e-05,
1129
+ "loss": 0.0025,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 3.676668095442206,
1134
+ "grad_norm": 0.05331341549754143,
1135
+ "learning_rate": 1.995063590887759e-05,
1136
+ "loss": 0.0045,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 3.6995285040720103,
1141
+ "grad_norm": 0.038474228233098984,
1142
+ "learning_rate": 1.9317507559137184e-05,
1143
+ "loss": 0.0039,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 3.7223889127018146,
1148
+ "grad_norm": 0.046009331941604614,
1149
+ "learning_rate": 1.8692174062553924e-05,
1150
+ "loss": 0.004,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 3.745249321331619,
1155
+ "grad_norm": 0.024187810719013214,
1156
+ "learning_rate": 1.807479428440873e-05,
1157
+ "loss": 0.0024,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 3.768109729961423,
1162
+ "grad_norm": 0.07836172729730606,
1163
+ "learning_rate": 1.746552506934917e-05,
1164
+ "loss": 0.0027,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 3.790970138591227,
1169
+ "grad_norm": 0.0379299558699131,
1170
+ "learning_rate": 1.6864521201543197e-05,
1171
+ "loss": 0.0032,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 3.8138305472210314,
1176
+ "grad_norm": 0.04367607831954956,
1177
+ "learning_rate": 1.627193536535656e-05,
1178
+ "loss": 0.002,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 3.8366909558508357,
1183
+ "grad_norm": 0.18003098666667938,
1184
+ "learning_rate": 1.5687918106563326e-05,
1185
+ "loss": 0.0025,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 3.85955136448064,
1190
+ "grad_norm": 0.04013814404606819,
1191
+ "learning_rate": 1.5112617794100047e-05,
1192
+ "loss": 0.0026,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 3.8824117731104444,
1197
+ "grad_norm": 0.030205566436052322,
1198
+ "learning_rate": 1.454618058237272e-05,
1199
+ "loss": 0.0029,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 3.9052721817402487,
1204
+ "grad_norm": 0.10214164853096008,
1205
+ "learning_rate": 1.3988750374126396e-05,
1206
+ "loss": 0.0026,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 3.928132590370053,
1211
+ "grad_norm": 0.027208510786294937,
1212
+ "learning_rate": 1.344046878388695e-05,
1213
+ "loss": 0.0026,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 3.9509929989998573,
1218
+ "grad_norm": 0.020535435527563095,
1219
+ "learning_rate": 1.2901475101983939e-05,
1220
+ "loss": 0.0018,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 3.973853407629661,
1225
+ "grad_norm": 0.03657793253660202,
1226
+ "learning_rate": 1.2371906259164168e-05,
1227
+ "loss": 0.0023,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 3.9967138162594655,
1232
+ "grad_norm": 0.037314701825380325,
1233
+ "learning_rate": 1.1851896791804507e-05,
1234
+ "loss": 0.004,
1235
+ "step": 1750
1236
+ }
1237
+ ],
1238
+ "logging_steps": 10,
1239
+ "max_steps": 2190,
1240
+ "num_input_tokens_seen": 0,
1241
+ "num_train_epochs": 5,
1242
+ "save_steps": 250,
1243
+ "stateful_callbacks": {
1244
+ "TrainerControl": {
1245
+ "args": {
1246
+ "should_epoch_stop": false,
1247
+ "should_evaluate": false,
1248
+ "should_log": false,
1249
+ "should_save": true,
1250
+ "should_training_stop": false
1251
+ },
1252
+ "attributes": {}
1253
+ }
1254
+ },
1255
+ "total_flos": 4.082116411512586e+17,
1256
+ "train_batch_size": 1,
1257
+ "trial_name": null,
1258
+ "trial_params": null
1259
+ }
checkpoint-1750/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d307b97811482d7107b2c2d37efb72e66e5e343ee5862d771d5d8278d370a73a
3
+ size 5777
checkpoint-1750/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.16.0
checkpoint-2000/adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.1,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "gate_proj",
30
+ "up_proj",
31
+ "down_proj",
32
+ "k_proj",
33
+ "v_proj",
34
+ "o_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
checkpoint-2000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5e0cf1b2a445af6ff8e294d159f92436ae67933688d9f18f711b0167de7278e
3
+ size 323014168
checkpoint-2000/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-2000/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-2000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1b20813a2ad9e5ec61e1d6fc3319303ac563bc84edf598b8a65e6abf1085beb
3
+ size 646253819
checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42e281539681e1461680a8f03dae385b1b5b8c0448bff23c6aa7923a713d08dd
3
+ size 14645
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c625f8b81111bc5fb1c4b6e5254635917ed663fe6e407ad47a74d7d641a26076
3
+ size 1465
checkpoint-2000/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-2000/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
checkpoint-2000/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-2000/trainer_state.json ADDED
@@ -0,0 +1,1434 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 4.5669381340191455,
6
+ "eval_steps": 500,
7
+ "global_step": 2000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.022860408629804256,
14
+ "grad_norm": 0.31346356868743896,
15
+ "learning_rate": 4.10958904109589e-06,
16
+ "loss": 0.4615,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.04572081725960851,
21
+ "grad_norm": 0.3634890019893646,
22
+ "learning_rate": 8.675799086757991e-06,
23
+ "loss": 0.4707,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.06858122588941278,
28
+ "grad_norm": 0.26333874464035034,
29
+ "learning_rate": 1.3242009132420092e-05,
30
+ "loss": 0.3731,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.09144163451921702,
35
+ "grad_norm": 0.19899441301822662,
36
+ "learning_rate": 1.780821917808219e-05,
37
+ "loss": 0.2918,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.11430204314902129,
42
+ "grad_norm": 0.10445400327444077,
43
+ "learning_rate": 2.237442922374429e-05,
44
+ "loss": 0.1518,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.13716245177882555,
49
+ "grad_norm": 0.060141440480947495,
50
+ "learning_rate": 2.6940639269406392e-05,
51
+ "loss": 0.0826,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.1600228604086298,
56
+ "grad_norm": 0.11565729230642319,
57
+ "learning_rate": 3.1506849315068496e-05,
58
+ "loss": 0.0897,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.18288326903843405,
63
+ "grad_norm": 0.13073839247226715,
64
+ "learning_rate": 3.60730593607306e-05,
65
+ "loss": 0.0992,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.2057436776682383,
70
+ "grad_norm": 0.08385579288005829,
71
+ "learning_rate": 4.063926940639269e-05,
72
+ "loss": 0.0867,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.22860408629804257,
77
+ "grad_norm": 0.10868898034095764,
78
+ "learning_rate": 4.520547945205479e-05,
79
+ "loss": 0.1022,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.25146449492784684,
84
+ "grad_norm": 0.10515399277210236,
85
+ "learning_rate": 4.977168949771689e-05,
86
+ "loss": 0.0866,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.2743249035576511,
91
+ "grad_norm": 0.11809521168470383,
92
+ "learning_rate": 5.4337899543379e-05,
93
+ "loss": 0.0866,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.29718531218745536,
98
+ "grad_norm": 0.09987114369869232,
99
+ "learning_rate": 5.89041095890411e-05,
100
+ "loss": 0.0942,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.3200457208172596,
105
+ "grad_norm": 0.1236502081155777,
106
+ "learning_rate": 6.34703196347032e-05,
107
+ "loss": 0.0935,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.3429061294470639,
112
+ "grad_norm": 0.09345820546150208,
113
+ "learning_rate": 6.803652968036531e-05,
114
+ "loss": 0.1001,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.3657665380768681,
119
+ "grad_norm": 0.12369757890701294,
120
+ "learning_rate": 7.26027397260274e-05,
121
+ "loss": 0.0805,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.38862694670667236,
126
+ "grad_norm": 0.12654580175876617,
127
+ "learning_rate": 7.716894977168951e-05,
128
+ "loss": 0.0704,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.4114873553364766,
133
+ "grad_norm": 0.10067084431648254,
134
+ "learning_rate": 8.17351598173516e-05,
135
+ "loss": 0.0812,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.4343477639662809,
140
+ "grad_norm": 0.10523034632205963,
141
+ "learning_rate": 8.630136986301371e-05,
142
+ "loss": 0.0897,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.45720817259608515,
147
+ "grad_norm": 0.08805034309625626,
148
+ "learning_rate": 9.08675799086758e-05,
149
+ "loss": 0.1039,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.4800685812258894,
154
+ "grad_norm": 0.10564622282981873,
155
+ "learning_rate": 9.543378995433791e-05,
156
+ "loss": 0.0931,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.5029289898556937,
161
+ "grad_norm": 0.08823700249195099,
162
+ "learning_rate": 0.0001,
163
+ "loss": 0.0769,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.5257893984854979,
168
+ "grad_norm": 0.07316570729017258,
169
+ "learning_rate": 9.999364877774174e-05,
170
+ "loss": 0.0893,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.5486498071153022,
175
+ "grad_norm": 0.08555534482002258,
176
+ "learning_rate": 9.997459672448794e-05,
177
+ "loss": 0.0802,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.5715102157451064,
182
+ "grad_norm": 0.1843150109052658,
183
+ "learning_rate": 9.994284868039156e-05,
184
+ "loss": 0.0736,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.5943706243749107,
189
+ "grad_norm": 0.11401674896478653,
190
+ "learning_rate": 9.9898412711008e-05,
191
+ "loss": 0.0788,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.6172310330047149,
196
+ "grad_norm": 0.07360777258872986,
197
+ "learning_rate": 9.984130010524597e-05,
198
+ "loss": 0.0807,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.6400914416345193,
203
+ "grad_norm": 0.11163882166147232,
204
+ "learning_rate": 9.977152537249958e-05,
205
+ "loss": 0.072,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.6629518502643235,
210
+ "grad_norm": 0.12346392124891281,
211
+ "learning_rate": 9.968910623896225e-05,
212
+ "loss": 0.0712,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.6858122588941278,
217
+ "grad_norm": 0.13644632697105408,
218
+ "learning_rate": 9.95940636431234e-05,
219
+ "loss": 0.0765,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.708672667523932,
224
+ "grad_norm": 0.09245093911886215,
225
+ "learning_rate": 9.948642173044905e-05,
226
+ "loss": 0.0797,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.7315330761537362,
231
+ "grad_norm": 0.11467203497886658,
232
+ "learning_rate": 9.936620784724766e-05,
233
+ "loss": 0.0756,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.7543934847835405,
238
+ "grad_norm": 0.12245265394449234,
239
+ "learning_rate": 9.923345253372287e-05,
240
+ "loss": 0.0671,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.7772538934133447,
245
+ "grad_norm": 0.08666519820690155,
246
+ "learning_rate": 9.908818951621474e-05,
247
+ "loss": 0.0681,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.800114302043149,
252
+ "grad_norm": 0.16961519420146942,
253
+ "learning_rate": 9.89304556986317e-05,
254
+ "loss": 0.072,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.8229747106729532,
259
+ "grad_norm": 0.2313849776983261,
260
+ "learning_rate": 9.876029115307506e-05,
261
+ "loss": 0.0707,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.8458351193027576,
266
+ "grad_norm": 0.14014111459255219,
267
+ "learning_rate": 9.85777391096588e-05,
268
+ "loss": 0.0807,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.8686955279325618,
273
+ "grad_norm": 0.0991162583231926,
274
+ "learning_rate": 9.838284594552697e-05,
275
+ "loss": 0.0736,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.8915559365623661,
280
+ "grad_norm": 0.14600183069705963,
281
+ "learning_rate": 9.817566117307167e-05,
282
+ "loss": 0.073,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.9144163451921703,
287
+ "grad_norm": 0.12519070506095886,
288
+ "learning_rate": 9.79562374273544e-05,
289
+ "loss": 0.0573,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.9372767538219746,
294
+ "grad_norm": 0.14949887990951538,
295
+ "learning_rate": 9.77246304527343e-05,
296
+ "loss": 0.0691,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.9601371624517788,
301
+ "grad_norm": 0.13667669892311096,
302
+ "learning_rate": 9.748089908870627e-05,
303
+ "loss": 0.052,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.982997571081583,
308
+ "grad_norm": 0.07336350530385971,
309
+ "learning_rate": 9.722510525495286e-05,
310
+ "loss": 0.0698,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 1.004572081725961,
315
+ "grad_norm": 0.1134289801120758,
316
+ "learning_rate": 9.69573139356137e-05,
317
+ "loss": 0.0621,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 1.027432490355765,
322
+ "grad_norm": 0.11676439642906189,
323
+ "learning_rate": 9.66775931627763e-05,
324
+ "loss": 0.0474,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 1.0502928989855693,
329
+ "grad_norm": 0.14386767148971558,
330
+ "learning_rate": 9.638601399919259e-05,
331
+ "loss": 0.0496,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 1.0731533076153736,
336
+ "grad_norm": 0.16757084429264069,
337
+ "learning_rate": 9.608265052022556e-05,
338
+ "loss": 0.0493,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 1.096013716245178,
343
+ "grad_norm": 0.12976950407028198,
344
+ "learning_rate": 9.576757979503037e-05,
345
+ "loss": 0.0513,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 1.118874124874982,
350
+ "grad_norm": 0.21009308099746704,
351
+ "learning_rate": 9.544088186697515e-05,
352
+ "loss": 0.0464,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 1.1417345335047864,
357
+ "grad_norm": 0.1863221377134323,
358
+ "learning_rate": 9.5102639733306e-05,
359
+ "loss": 0.0388,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 1.1645949421345907,
364
+ "grad_norm": 0.1924988180398941,
365
+ "learning_rate": 9.475293932406162e-05,
366
+ "loss": 0.0517,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 1.1874553507643948,
371
+ "grad_norm": 0.1228746697306633,
372
+ "learning_rate": 9.439186948024297e-05,
373
+ "loss": 0.0475,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 1.210315759394199,
378
+ "grad_norm": 0.18384294211864471,
379
+ "learning_rate": 9.401952193124315e-05,
380
+ "loss": 0.046,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 1.2331761680240034,
385
+ "grad_norm": 0.1352134793996811,
386
+ "learning_rate": 9.363599127154383e-05,
387
+ "loss": 0.0454,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.2560365766538077,
392
+ "grad_norm": 0.07320581376552582,
393
+ "learning_rate": 9.324137493668352e-05,
394
+ "loss": 0.0379,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 1.278896985283612,
399
+ "grad_norm": 0.14689098298549652,
400
+ "learning_rate": 9.283577317850419e-05,
401
+ "loss": 0.0419,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 1.3017573939134162,
406
+ "grad_norm": 0.14588995277881622,
407
+ "learning_rate": 9.24192890396824e-05,
408
+ "loss": 0.0451,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 1.3246178025432205,
413
+ "grad_norm": 0.17893975973129272,
414
+ "learning_rate": 9.19920283275515e-05,
415
+ "loss": 0.0405,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 1.3474782111730248,
420
+ "grad_norm": 0.17961391806602478,
421
+ "learning_rate": 9.155409958722124e-05,
422
+ "loss": 0.0371,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 1.370338619802829,
427
+ "grad_norm": 0.18520987033843994,
428
+ "learning_rate": 9.110561407400218e-05,
429
+ "loss": 0.0447,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 1.3931990284326332,
434
+ "grad_norm": 0.14877571165561676,
435
+ "learning_rate": 9.064668572514127e-05,
436
+ "loss": 0.0429,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 1.4160594370624375,
441
+ "grad_norm": 0.1054820641875267,
442
+ "learning_rate": 9.01774311308763e-05,
443
+ "loss": 0.036,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 1.4389198456922419,
448
+ "grad_norm": 0.1029554158449173,
449
+ "learning_rate": 8.96979695048162e-05,
450
+ "loss": 0.0473,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 1.461780254322046,
455
+ "grad_norm": 0.26157063245773315,
456
+ "learning_rate": 8.920842265365503e-05,
457
+ "loss": 0.0343,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 1.4846406629518503,
462
+ "grad_norm": 0.12941773235797882,
463
+ "learning_rate": 8.870891494622709e-05,
464
+ "loss": 0.0522,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 1.5075010715816544,
469
+ "grad_norm": 0.11229275912046432,
470
+ "learning_rate": 8.819957328191117e-05,
471
+ "loss": 0.0385,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 1.5303614802114587,
476
+ "grad_norm": 0.2675265073776245,
477
+ "learning_rate": 8.76805270583919e-05,
478
+ "loss": 0.0492,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 1.553221888841263,
483
+ "grad_norm": 0.18951663374900818,
484
+ "learning_rate": 8.715190813878637e-05,
485
+ "loss": 0.0353,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 1.5760822974710673,
490
+ "grad_norm": 0.14573994278907776,
491
+ "learning_rate": 8.661385081814453e-05,
492
+ "loss": 0.0334,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 1.5989427061008716,
497
+ "grad_norm": 0.08593331277370453,
498
+ "learning_rate": 8.606649178933163e-05,
499
+ "loss": 0.0315,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 1.621803114730676,
504
+ "grad_norm": 0.20985154807567596,
505
+ "learning_rate": 8.550997010830154e-05,
506
+ "loss": 0.0369,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 1.64466352336048,
511
+ "grad_norm": 0.2964492738246918,
512
+ "learning_rate": 8.494442715876976e-05,
513
+ "loss": 0.0283,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 1.6675239319902844,
518
+ "grad_norm": 0.11921142041683197,
519
+ "learning_rate": 8.437000661629506e-05,
520
+ "loss": 0.0312,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 1.6903843406200885,
525
+ "grad_norm": 0.20576898753643036,
526
+ "learning_rate": 8.378685441177886e-05,
527
+ "loss": 0.0348,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 1.7132447492498928,
532
+ "grad_norm": 0.27900010347366333,
533
+ "learning_rate": 8.31951186943916e-05,
534
+ "loss": 0.0294,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 1.736105157879697,
539
+ "grad_norm": 0.18257662653923035,
540
+ "learning_rate": 8.259494979393563e-05,
541
+ "loss": 0.0264,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 1.7589655665095014,
546
+ "grad_norm": 0.16247795522212982,
547
+ "learning_rate": 8.198650018265415e-05,
548
+ "loss": 0.0385,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 1.7818259751393057,
553
+ "grad_norm": 0.18227055668830872,
554
+ "learning_rate": 8.136992443649571e-05,
555
+ "loss": 0.0333,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 1.8046863837691098,
560
+ "grad_norm": 0.1283257156610489,
561
+ "learning_rate": 8.074537919584443e-05,
562
+ "loss": 0.0373,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 1.8275467923989142,
567
+ "grad_norm": 0.21598616242408752,
568
+ "learning_rate": 8.011302312572566e-05,
569
+ "loss": 0.0427,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 1.8504072010287183,
574
+ "grad_norm": 0.18352819979190826,
575
+ "learning_rate": 7.947301687549731e-05,
576
+ "loss": 0.04,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 1.8732676096585226,
581
+ "grad_norm": 0.28778374195098877,
582
+ "learning_rate": 7.882552303803705e-05,
583
+ "loss": 0.035,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 1.8961280182883269,
588
+ "grad_norm": 0.11134298145771027,
589
+ "learning_rate": 7.817070610843579e-05,
590
+ "loss": 0.0281,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 1.9189884269181312,
595
+ "grad_norm": 0.2428896129131317,
596
+ "learning_rate": 7.750873244220787e-05,
597
+ "loss": 0.0326,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 1.9418488355479355,
602
+ "grad_norm": 0.21082095801830292,
603
+ "learning_rate": 7.68397702130286e-05,
604
+ "loss": 0.0316,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 1.9647092441777396,
609
+ "grad_norm": 0.14655885100364685,
610
+ "learning_rate": 7.616398937000999e-05,
611
+ "loss": 0.0292,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 1.987569652807544,
616
+ "grad_norm": 0.16203175485134125,
617
+ "learning_rate": 7.548156159452531e-05,
618
+ "loss": 0.0272,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 2.009144163451922,
623
+ "grad_norm": 0.1306605190038681,
624
+ "learning_rate": 7.479266025659365e-05,
625
+ "loss": 0.0209,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 2.032004572081726,
630
+ "grad_norm": 0.13496187329292297,
631
+ "learning_rate": 7.409746037083548e-05,
632
+ "loss": 0.0138,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 2.05486498071153,
637
+ "grad_norm": 0.18669717013835907,
638
+ "learning_rate": 7.339613855201032e-05,
639
+ "loss": 0.0149,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 2.0777253893413343,
644
+ "grad_norm": 0.1247486025094986,
645
+ "learning_rate": 7.2688872970148e-05,
646
+ "loss": 0.0128,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 2.1005857979711386,
651
+ "grad_norm": 0.1156638115644455,
652
+ "learning_rate": 7.197584330528478e-05,
653
+ "loss": 0.0117,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 2.123446206600943,
658
+ "grad_norm": 0.03096736967563629,
659
+ "learning_rate": 7.125723070181576e-05,
660
+ "loss": 0.0143,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 2.1463066152307473,
665
+ "grad_norm": 0.04739869013428688,
666
+ "learning_rate": 7.053321772247545e-05,
667
+ "loss": 0.0099,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 2.1691670238605516,
672
+ "grad_norm": 0.1429280787706375,
673
+ "learning_rate": 6.980398830195785e-05,
674
+ "loss": 0.0109,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 2.192027432490356,
679
+ "grad_norm": 0.2534593343734741,
680
+ "learning_rate": 6.906972770018802e-05,
681
+ "loss": 0.0163,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 2.2148878411201602,
686
+ "grad_norm": 0.1354377567768097,
687
+ "learning_rate": 6.833062245525705e-05,
688
+ "loss": 0.0147,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 2.237748249749964,
693
+ "grad_norm": 0.06828989833593369,
694
+ "learning_rate": 6.758686033603225e-05,
695
+ "loss": 0.0201,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 2.2606086583797684,
700
+ "grad_norm": 0.14169731736183167,
701
+ "learning_rate": 6.683863029445469e-05,
702
+ "loss": 0.0133,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 2.2834690670095728,
707
+ "grad_norm": 0.04132571816444397,
708
+ "learning_rate": 6.608612241753614e-05,
709
+ "loss": 0.0097,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 2.306329475639377,
714
+ "grad_norm": 0.3469948172569275,
715
+ "learning_rate": 6.532952787906771e-05,
716
+ "loss": 0.0139,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 2.3291898842691814,
721
+ "grad_norm": 0.04748811200261116,
722
+ "learning_rate": 6.45690388910523e-05,
723
+ "loss": 0.0153,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 2.3520502928989857,
728
+ "grad_norm": 0.1330500990152359,
729
+ "learning_rate": 6.380484865487347e-05,
730
+ "loss": 0.015,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 2.3749107015287896,
735
+ "grad_norm": 0.14051929116249084,
736
+ "learning_rate": 6.303715131221264e-05,
737
+ "loss": 0.0069,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 2.397771110158594,
742
+ "grad_norm": 0.07501324266195297,
743
+ "learning_rate": 6.22661418957279e-05,
744
+ "loss": 0.0101,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 2.420631518788398,
749
+ "grad_norm": 0.1099422499537468,
750
+ "learning_rate": 6.149201627950593e-05,
751
+ "loss": 0.013,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 2.4434919274182025,
756
+ "grad_norm": 0.09372354298830032,
757
+ "learning_rate": 6.071497112930047e-05,
758
+ "loss": 0.0126,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 2.466352336048007,
763
+ "grad_norm": 0.09480420500040054,
764
+ "learning_rate": 5.99352038525697e-05,
765
+ "loss": 0.0127,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 2.489212744677811,
770
+ "grad_norm": 0.1486363410949707,
771
+ "learning_rate": 5.9152912548324976e-05,
772
+ "loss": 0.016,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 2.5120731533076155,
777
+ "grad_norm": 0.10003609955310822,
778
+ "learning_rate": 5.836829595680406e-05,
779
+ "loss": 0.0128,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 2.53493356193742,
784
+ "grad_norm": 0.08636961132287979,
785
+ "learning_rate": 5.758155340898137e-05,
786
+ "loss": 0.0119,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 2.557793970567224,
791
+ "grad_norm": 0.11953787505626678,
792
+ "learning_rate": 5.679288477592815e-05,
793
+ "loss": 0.0097,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 2.580654379197028,
798
+ "grad_norm": 0.06493639945983887,
799
+ "learning_rate": 5.600249041803545e-05,
800
+ "loss": 0.0105,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 2.6035147878268323,
805
+ "grad_norm": 0.12084943801164627,
806
+ "learning_rate": 5.5210571134112824e-05,
807
+ "loss": 0.0122,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 2.6263751964566366,
812
+ "grad_norm": 0.13135117292404175,
813
+ "learning_rate": 5.44173281103756e-05,
814
+ "loss": 0.0142,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 2.649235605086441,
819
+ "grad_norm": 0.137589693069458,
820
+ "learning_rate": 5.362296286933371e-05,
821
+ "loss": 0.0126,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 2.6720960137162453,
826
+ "grad_norm": 0.058550190180540085,
827
+ "learning_rate": 5.282767721859516e-05,
828
+ "loss": 0.0076,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 2.6949564223460496,
833
+ "grad_norm": 0.07393407076597214,
834
+ "learning_rate": 5.203167319959702e-05,
835
+ "loss": 0.012,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 2.7178168309758535,
840
+ "grad_norm": 0.1508752703666687,
841
+ "learning_rate": 5.123515303627698e-05,
842
+ "loss": 0.009,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 2.740677239605658,
847
+ "grad_norm": 0.1534973382949829,
848
+ "learning_rate": 5.0438319083698714e-05,
849
+ "loss": 0.0101,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 2.763537648235462,
854
+ "grad_norm": 0.14507421851158142,
855
+ "learning_rate": 4.9641373776643616e-05,
856
+ "loss": 0.0081,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 2.7863980568652664,
861
+ "grad_norm": 0.1377381533384323,
862
+ "learning_rate": 4.8844519578182604e-05,
863
+ "loss": 0.0109,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 2.8092584654950707,
868
+ "grad_norm": 0.2066635936498642,
869
+ "learning_rate": 4.804795892824056e-05,
870
+ "loss": 0.0135,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 2.832118874124875,
875
+ "grad_norm": 0.05857717618346214,
876
+ "learning_rate": 4.7251894192166654e-05,
877
+ "loss": 0.0076,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 2.8549792827546794,
882
+ "grad_norm": 0.168072909116745,
883
+ "learning_rate": 4.645652760932376e-05,
884
+ "loss": 0.009,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 2.8778396913844837,
889
+ "grad_norm": 0.17164477705955505,
890
+ "learning_rate": 4.566206124170963e-05,
891
+ "loss": 0.0112,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 2.900700100014288,
896
+ "grad_norm": 0.15097732841968536,
897
+ "learning_rate": 4.486869692262337e-05,
898
+ "loss": 0.0094,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 2.923560508644092,
903
+ "grad_norm": 0.0871570035815239,
904
+ "learning_rate": 4.407663620538985e-05,
905
+ "loss": 0.0101,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 2.946420917273896,
910
+ "grad_norm": 0.13305386900901794,
911
+ "learning_rate": 4.328608031215539e-05,
912
+ "loss": 0.0092,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 2.9692813259037005,
917
+ "grad_norm": 0.23256619274616241,
918
+ "learning_rate": 4.249723008276737e-05,
919
+ "loss": 0.015,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 2.992141734533505,
924
+ "grad_norm": 0.10129191726446152,
925
+ "learning_rate": 4.171028592375125e-05,
926
+ "loss": 0.0124,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 3.0137162451778825,
931
+ "grad_norm": 0.15339592099189758,
932
+ "learning_rate": 4.092544775739735e-05,
933
+ "loss": 0.0067,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 3.036576653807687,
938
+ "grad_norm": 0.03447636589407921,
939
+ "learning_rate": 4.0142914970970926e-05,
940
+ "loss": 0.0047,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 3.059437062437491,
945
+ "grad_norm": 0.056881342083215714,
946
+ "learning_rate": 3.9362886366058025e-05,
947
+ "loss": 0.0074,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 3.0822974710672955,
952
+ "grad_norm": 0.22134284675121307,
953
+ "learning_rate": 3.858556010806013e-05,
954
+ "loss": 0.004,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 3.1051578796970998,
959
+ "grad_norm": 0.12356160581111908,
960
+ "learning_rate": 3.781113367585053e-05,
961
+ "loss": 0.0048,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 3.1280182883269037,
966
+ "grad_norm": 0.03940752521157265,
967
+ "learning_rate": 3.703980381160497e-05,
968
+ "loss": 0.003,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 3.150878696956708,
973
+ "grad_norm": 0.09747901558876038,
974
+ "learning_rate": 3.627176647081954e-05,
975
+ "loss": 0.0056,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 3.1737391055865123,
980
+ "grad_norm": 0.016509221866726875,
981
+ "learning_rate": 3.550721677252839e-05,
982
+ "loss": 0.0017,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 3.1965995142163166,
987
+ "grad_norm": 0.15755465626716614,
988
+ "learning_rate": 3.4746348949733965e-05,
989
+ "loss": 0.003,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 3.219459922846121,
994
+ "grad_norm": 0.017669400200247765,
995
+ "learning_rate": 3.398935630006236e-05,
996
+ "loss": 0.0031,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 3.2423203314759252,
1001
+ "grad_norm": 0.07502660900354385,
1002
+ "learning_rate": 3.32364311366562e-05,
1003
+ "loss": 0.005,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 3.2651807401057296,
1008
+ "grad_norm": 0.4353109300136566,
1009
+ "learning_rate": 3.248776473931774e-05,
1010
+ "loss": 0.0058,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 3.288041148735534,
1015
+ "grad_norm": 0.06076102331280708,
1016
+ "learning_rate": 3.174354730591447e-05,
1017
+ "loss": 0.0055,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 3.3109015573653378,
1022
+ "grad_norm": 0.04932214692234993,
1023
+ "learning_rate": 3.100396790405948e-05,
1024
+ "loss": 0.0041,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 3.333761965995142,
1029
+ "grad_norm": 0.12315461784601212,
1030
+ "learning_rate": 3.026921442307916e-05,
1031
+ "loss": 0.0034,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 3.3566223746249464,
1036
+ "grad_norm": 0.08378969877958298,
1037
+ "learning_rate": 2.9539473526280005e-05,
1038
+ "loss": 0.0021,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 3.3794827832547507,
1043
+ "grad_norm": 0.1416824609041214,
1044
+ "learning_rate": 2.8814930603527068e-05,
1045
+ "loss": 0.0024,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 3.402343191884555,
1050
+ "grad_norm": 0.09372381865978241,
1051
+ "learning_rate": 2.809576972414587e-05,
1052
+ "loss": 0.0023,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 3.4252036005143593,
1057
+ "grad_norm": 0.16745346784591675,
1058
+ "learning_rate": 2.738217359015981e-05,
1059
+ "loss": 0.0041,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 3.4480640091441632,
1064
+ "grad_norm": 0.1455969363451004,
1065
+ "learning_rate": 2.6674323489874843e-05,
1066
+ "loss": 0.0056,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 3.4709244177739675,
1071
+ "grad_norm": 0.07298196107149124,
1072
+ "learning_rate": 2.5972399251823488e-05,
1073
+ "loss": 0.0034,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 3.493784826403772,
1078
+ "grad_norm": 0.024875745177268982,
1079
+ "learning_rate": 2.5276579199079486e-05,
1080
+ "loss": 0.0043,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 3.516645235033576,
1085
+ "grad_norm": 0.17137651145458221,
1086
+ "learning_rate": 2.4587040103955134e-05,
1087
+ "loss": 0.0041,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 3.5395056436633805,
1092
+ "grad_norm": 0.10219382494688034,
1093
+ "learning_rate": 2.39039571430924e-05,
1094
+ "loss": 0.0037,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 3.562366052293185,
1099
+ "grad_norm": 0.05997829884290695,
1100
+ "learning_rate": 2.3227503852959453e-05,
1101
+ "loss": 0.0025,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 3.585226460922989,
1106
+ "grad_norm": 0.022572757676243782,
1107
+ "learning_rate": 2.2557852085764053e-05,
1108
+ "loss": 0.0087,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 3.6080868695527935,
1113
+ "grad_norm": 0.025689126923680305,
1114
+ "learning_rate": 2.189517196579453e-05,
1115
+ "loss": 0.0046,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 3.6309472781825978,
1120
+ "grad_norm": 0.19351957738399506,
1121
+ "learning_rate": 2.1239631846200026e-05,
1122
+ "loss": 0.0041,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 3.6538076868124016,
1127
+ "grad_norm": 0.05244070664048195,
1128
+ "learning_rate": 2.0591398266220502e-05,
1129
+ "loss": 0.0025,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 3.676668095442206,
1134
+ "grad_norm": 0.05331341549754143,
1135
+ "learning_rate": 1.995063590887759e-05,
1136
+ "loss": 0.0045,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 3.6995285040720103,
1141
+ "grad_norm": 0.038474228233098984,
1142
+ "learning_rate": 1.9317507559137184e-05,
1143
+ "loss": 0.0039,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 3.7223889127018146,
1148
+ "grad_norm": 0.046009331941604614,
1149
+ "learning_rate": 1.8692174062553924e-05,
1150
+ "loss": 0.004,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 3.745249321331619,
1155
+ "grad_norm": 0.024187810719013214,
1156
+ "learning_rate": 1.807479428440873e-05,
1157
+ "loss": 0.0024,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 3.768109729961423,
1162
+ "grad_norm": 0.07836172729730606,
1163
+ "learning_rate": 1.746552506934917e-05,
1164
+ "loss": 0.0027,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 3.790970138591227,
1169
+ "grad_norm": 0.0379299558699131,
1170
+ "learning_rate": 1.6864521201543197e-05,
1171
+ "loss": 0.0032,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 3.8138305472210314,
1176
+ "grad_norm": 0.04367607831954956,
1177
+ "learning_rate": 1.627193536535656e-05,
1178
+ "loss": 0.002,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 3.8366909558508357,
1183
+ "grad_norm": 0.18003098666667938,
1184
+ "learning_rate": 1.5687918106563326e-05,
1185
+ "loss": 0.0025,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 3.85955136448064,
1190
+ "grad_norm": 0.04013814404606819,
1191
+ "learning_rate": 1.5112617794100047e-05,
1192
+ "loss": 0.0026,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 3.8824117731104444,
1197
+ "grad_norm": 0.030205566436052322,
1198
+ "learning_rate": 1.454618058237272e-05,
1199
+ "loss": 0.0029,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 3.9052721817402487,
1204
+ "grad_norm": 0.10214164853096008,
1205
+ "learning_rate": 1.3988750374126396e-05,
1206
+ "loss": 0.0026,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 3.928132590370053,
1211
+ "grad_norm": 0.027208510786294937,
1212
+ "learning_rate": 1.344046878388695e-05,
1213
+ "loss": 0.0026,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 3.9509929989998573,
1218
+ "grad_norm": 0.020535435527563095,
1219
+ "learning_rate": 1.2901475101983939e-05,
1220
+ "loss": 0.0018,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 3.973853407629661,
1225
+ "grad_norm": 0.03657793253660202,
1226
+ "learning_rate": 1.2371906259164168e-05,
1227
+ "loss": 0.0023,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 3.9967138162594655,
1232
+ "grad_norm": 0.037314701825380325,
1233
+ "learning_rate": 1.1851896791804507e-05,
1234
+ "loss": 0.004,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 4.018288326903844,
1239
+ "grad_norm": 0.01339447870850563,
1240
+ "learning_rate": 1.1341578807733088e-05,
1241
+ "loss": 0.0017,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 4.041148735533648,
1246
+ "grad_norm": 0.0763229951262474,
1247
+ "learning_rate": 1.0841081952667498e-05,
1248
+ "loss": 0.0018,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 4.064009144163452,
1253
+ "grad_norm": 0.029324688017368317,
1254
+ "learning_rate": 1.0350533377278353e-05,
1255
+ "loss": 0.0015,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 4.086869552793257,
1260
+ "grad_norm": 0.021862059831619263,
1261
+ "learning_rate": 9.870057704886908e-06,
1262
+ "loss": 0.0011,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 4.10972996142306,
1267
+ "grad_norm": 0.011852990835905075,
1268
+ "learning_rate": 9.399776999804566e-06,
1269
+ "loss": 0.0012,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 4.132590370052864,
1274
+ "grad_norm": 0.022478003054857254,
1275
+ "learning_rate": 8.939810736322574e-06,
1276
+ "loss": 0.0013,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 4.155450778682669,
1281
+ "grad_norm": 0.08652134984731674,
1282
+ "learning_rate": 8.490275768359784e-06,
1283
+ "loss": 0.0017,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 4.178311187312473,
1288
+ "grad_norm": 0.03378741443157196,
1289
+ "learning_rate": 8.051286299775951e-06,
1290
+ "loss": 0.0015,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 4.201171595942277,
1295
+ "grad_norm": 0.0582275353372097,
1296
+ "learning_rate": 7.6229538553584556e-06,
1297
+ "loss": 0.0011,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 4.224032004572082,
1302
+ "grad_norm": 0.016311751678586006,
1303
+ "learning_rate": 7.20538725248947e-06,
1304
+ "loss": 0.0024,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 4.246892413201886,
1309
+ "grad_norm": 0.017814885824918747,
1310
+ "learning_rate": 6.798692573501114e-06,
1311
+ "loss": 0.0011,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 4.26975282183169,
1316
+ "grad_norm": 0.029111934825778008,
1317
+ "learning_rate": 6.402973138725282e-06,
1318
+ "loss": 0.0013,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 4.292613230461495,
1323
+ "grad_norm": 0.08662671595811844,
1324
+ "learning_rate": 6.018329480245255e-06,
1325
+ "loss": 0.0017,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 4.315473639091299,
1330
+ "grad_norm": 0.026320841163396835,
1331
+ "learning_rate": 5.64485931635565e-06,
1332
+ "loss": 0.0014,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 4.338334047721103,
1337
+ "grad_norm": 0.01906999573111534,
1338
+ "learning_rate": 5.2826575267371615e-06,
1339
+ "loss": 0.0039,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 4.3611944563509075,
1344
+ "grad_norm": 0.019031250849366188,
1345
+ "learning_rate": 4.931816128352534e-06,
1346
+ "loss": 0.0011,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 4.384054864980712,
1351
+ "grad_norm": 0.14129675924777985,
1352
+ "learning_rate": 4.592424252069705e-06,
1353
+ "loss": 0.0017,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 4.406915273610516,
1358
+ "grad_norm": 0.012528040446341038,
1359
+ "learning_rate": 4.26456812001822e-06,
1360
+ "loss": 0.0014,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 4.4297756822403205,
1365
+ "grad_norm": 0.02767062373459339,
1366
+ "learning_rate": 3.948331023684637e-06,
1367
+ "loss": 0.0014,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 4.452636090870124,
1372
+ "grad_norm": 0.03427803888916969,
1373
+ "learning_rate": 3.64379330275233e-06,
1374
+ "loss": 0.0014,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 4.475496499499928,
1379
+ "grad_norm": 0.01602611131966114,
1380
+ "learning_rate": 3.3510323246913887e-06,
1381
+ "loss": 0.001,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 4.4983569081297325,
1386
+ "grad_norm": 0.031283311545848846,
1387
+ "learning_rate": 3.07012246510342e-06,
1388
+ "loss": 0.001,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 4.521217316759537,
1393
+ "grad_norm": 0.010646236129105091,
1394
+ "learning_rate": 2.801135088826529e-06,
1395
+ "loss": 0.0011,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 4.544077725389341,
1400
+ "grad_norm": 0.040134090930223465,
1401
+ "learning_rate": 2.5441385318051735e-06,
1402
+ "loss": 0.0012,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 4.5669381340191455,
1407
+ "grad_norm": 0.020084287971258163,
1408
+ "learning_rate": 2.2991980837294757e-06,
1409
+ "loss": 0.001,
1410
+ "step": 2000
1411
+ }
1412
+ ],
1413
+ "logging_steps": 10,
1414
+ "max_steps": 2190,
1415
+ "num_input_tokens_seen": 0,
1416
+ "num_train_epochs": 5,
1417
+ "save_steps": 250,
1418
+ "stateful_callbacks": {
1419
+ "TrainerControl": {
1420
+ "args": {
1421
+ "should_epoch_stop": false,
1422
+ "should_evaluate": false,
1423
+ "should_log": false,
1424
+ "should_save": true,
1425
+ "should_training_stop": false
1426
+ },
1427
+ "attributes": {}
1428
+ }
1429
+ },
1430
+ "total_flos": 4.6707991595135795e+17,
1431
+ "train_batch_size": 1,
1432
+ "trial_name": null,
1433
+ "trial_params": null
1434
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d307b97811482d7107b2c2d37efb72e66e5e343ee5862d771d5d8278d370a73a
3
+ size 5777
checkpoint-2000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2190/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.16.0
checkpoint-2190/adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.1,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "gate_proj",
30
+ "up_proj",
31
+ "down_proj",
32
+ "k_proj",
33
+ "v_proj",
34
+ "o_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
checkpoint-2190/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15865247ad910ae584d24b575151e137dec2d53987a11d7af1ae4f40816988ee
3
+ size 323014168
checkpoint-2190/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-2190/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-2190/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2190/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d0c58ba268f2ef0c3fac7a4648c5ff3fb328efd6133b7049d8c46af5905d831
3
+ size 646253819
checkpoint-2190/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a5dafcd4d6bddeaf502e237c74f9c6117d902237d99b836f38755b92105ca39
3
+ size 14645
checkpoint-2190/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a1695593ca728cae642c033ca23528a245dda65a37a0102e22bd339c20799fe
3
+ size 1465
checkpoint-2190/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-2190/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
checkpoint-2190/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-2190/trainer_state.json ADDED
@@ -0,0 +1,1567 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 5.0,
6
+ "eval_steps": 500,
7
+ "global_step": 2190,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.022860408629804256,
14
+ "grad_norm": 0.31346356868743896,
15
+ "learning_rate": 4.10958904109589e-06,
16
+ "loss": 0.4615,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.04572081725960851,
21
+ "grad_norm": 0.3634890019893646,
22
+ "learning_rate": 8.675799086757991e-06,
23
+ "loss": 0.4707,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.06858122588941278,
28
+ "grad_norm": 0.26333874464035034,
29
+ "learning_rate": 1.3242009132420092e-05,
30
+ "loss": 0.3731,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.09144163451921702,
35
+ "grad_norm": 0.19899441301822662,
36
+ "learning_rate": 1.780821917808219e-05,
37
+ "loss": 0.2918,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.11430204314902129,
42
+ "grad_norm": 0.10445400327444077,
43
+ "learning_rate": 2.237442922374429e-05,
44
+ "loss": 0.1518,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.13716245177882555,
49
+ "grad_norm": 0.060141440480947495,
50
+ "learning_rate": 2.6940639269406392e-05,
51
+ "loss": 0.0826,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.1600228604086298,
56
+ "grad_norm": 0.11565729230642319,
57
+ "learning_rate": 3.1506849315068496e-05,
58
+ "loss": 0.0897,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.18288326903843405,
63
+ "grad_norm": 0.13073839247226715,
64
+ "learning_rate": 3.60730593607306e-05,
65
+ "loss": 0.0992,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.2057436776682383,
70
+ "grad_norm": 0.08385579288005829,
71
+ "learning_rate": 4.063926940639269e-05,
72
+ "loss": 0.0867,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.22860408629804257,
77
+ "grad_norm": 0.10868898034095764,
78
+ "learning_rate": 4.520547945205479e-05,
79
+ "loss": 0.1022,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.25146449492784684,
84
+ "grad_norm": 0.10515399277210236,
85
+ "learning_rate": 4.977168949771689e-05,
86
+ "loss": 0.0866,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.2743249035576511,
91
+ "grad_norm": 0.11809521168470383,
92
+ "learning_rate": 5.4337899543379e-05,
93
+ "loss": 0.0866,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.29718531218745536,
98
+ "grad_norm": 0.09987114369869232,
99
+ "learning_rate": 5.89041095890411e-05,
100
+ "loss": 0.0942,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.3200457208172596,
105
+ "grad_norm": 0.1236502081155777,
106
+ "learning_rate": 6.34703196347032e-05,
107
+ "loss": 0.0935,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.3429061294470639,
112
+ "grad_norm": 0.09345820546150208,
113
+ "learning_rate": 6.803652968036531e-05,
114
+ "loss": 0.1001,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.3657665380768681,
119
+ "grad_norm": 0.12369757890701294,
120
+ "learning_rate": 7.26027397260274e-05,
121
+ "loss": 0.0805,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.38862694670667236,
126
+ "grad_norm": 0.12654580175876617,
127
+ "learning_rate": 7.716894977168951e-05,
128
+ "loss": 0.0704,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.4114873553364766,
133
+ "grad_norm": 0.10067084431648254,
134
+ "learning_rate": 8.17351598173516e-05,
135
+ "loss": 0.0812,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.4343477639662809,
140
+ "grad_norm": 0.10523034632205963,
141
+ "learning_rate": 8.630136986301371e-05,
142
+ "loss": 0.0897,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.45720817259608515,
147
+ "grad_norm": 0.08805034309625626,
148
+ "learning_rate": 9.08675799086758e-05,
149
+ "loss": 0.1039,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.4800685812258894,
154
+ "grad_norm": 0.10564622282981873,
155
+ "learning_rate": 9.543378995433791e-05,
156
+ "loss": 0.0931,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.5029289898556937,
161
+ "grad_norm": 0.08823700249195099,
162
+ "learning_rate": 0.0001,
163
+ "loss": 0.0769,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.5257893984854979,
168
+ "grad_norm": 0.07316570729017258,
169
+ "learning_rate": 9.999364877774174e-05,
170
+ "loss": 0.0893,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.5486498071153022,
175
+ "grad_norm": 0.08555534482002258,
176
+ "learning_rate": 9.997459672448794e-05,
177
+ "loss": 0.0802,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.5715102157451064,
182
+ "grad_norm": 0.1843150109052658,
183
+ "learning_rate": 9.994284868039156e-05,
184
+ "loss": 0.0736,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.5943706243749107,
189
+ "grad_norm": 0.11401674896478653,
190
+ "learning_rate": 9.9898412711008e-05,
191
+ "loss": 0.0788,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.6172310330047149,
196
+ "grad_norm": 0.07360777258872986,
197
+ "learning_rate": 9.984130010524597e-05,
198
+ "loss": 0.0807,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.6400914416345193,
203
+ "grad_norm": 0.11163882166147232,
204
+ "learning_rate": 9.977152537249958e-05,
205
+ "loss": 0.072,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.6629518502643235,
210
+ "grad_norm": 0.12346392124891281,
211
+ "learning_rate": 9.968910623896225e-05,
212
+ "loss": 0.0712,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.6858122588941278,
217
+ "grad_norm": 0.13644632697105408,
218
+ "learning_rate": 9.95940636431234e-05,
219
+ "loss": 0.0765,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.708672667523932,
224
+ "grad_norm": 0.09245093911886215,
225
+ "learning_rate": 9.948642173044905e-05,
226
+ "loss": 0.0797,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.7315330761537362,
231
+ "grad_norm": 0.11467203497886658,
232
+ "learning_rate": 9.936620784724766e-05,
233
+ "loss": 0.0756,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.7543934847835405,
238
+ "grad_norm": 0.12245265394449234,
239
+ "learning_rate": 9.923345253372287e-05,
240
+ "loss": 0.0671,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.7772538934133447,
245
+ "grad_norm": 0.08666519820690155,
246
+ "learning_rate": 9.908818951621474e-05,
247
+ "loss": 0.0681,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.800114302043149,
252
+ "grad_norm": 0.16961519420146942,
253
+ "learning_rate": 9.89304556986317e-05,
254
+ "loss": 0.072,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.8229747106729532,
259
+ "grad_norm": 0.2313849776983261,
260
+ "learning_rate": 9.876029115307506e-05,
261
+ "loss": 0.0707,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.8458351193027576,
266
+ "grad_norm": 0.14014111459255219,
267
+ "learning_rate": 9.85777391096588e-05,
268
+ "loss": 0.0807,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.8686955279325618,
273
+ "grad_norm": 0.0991162583231926,
274
+ "learning_rate": 9.838284594552697e-05,
275
+ "loss": 0.0736,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.8915559365623661,
280
+ "grad_norm": 0.14600183069705963,
281
+ "learning_rate": 9.817566117307167e-05,
282
+ "loss": 0.073,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.9144163451921703,
287
+ "grad_norm": 0.12519070506095886,
288
+ "learning_rate": 9.79562374273544e-05,
289
+ "loss": 0.0573,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.9372767538219746,
294
+ "grad_norm": 0.14949887990951538,
295
+ "learning_rate": 9.77246304527343e-05,
296
+ "loss": 0.0691,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.9601371624517788,
301
+ "grad_norm": 0.13667669892311096,
302
+ "learning_rate": 9.748089908870627e-05,
303
+ "loss": 0.052,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.982997571081583,
308
+ "grad_norm": 0.07336350530385971,
309
+ "learning_rate": 9.722510525495286e-05,
310
+ "loss": 0.0698,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 1.004572081725961,
315
+ "grad_norm": 0.1134289801120758,
316
+ "learning_rate": 9.69573139356137e-05,
317
+ "loss": 0.0621,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 1.027432490355765,
322
+ "grad_norm": 0.11676439642906189,
323
+ "learning_rate": 9.66775931627763e-05,
324
+ "loss": 0.0474,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 1.0502928989855693,
329
+ "grad_norm": 0.14386767148971558,
330
+ "learning_rate": 9.638601399919259e-05,
331
+ "loss": 0.0496,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 1.0731533076153736,
336
+ "grad_norm": 0.16757084429264069,
337
+ "learning_rate": 9.608265052022556e-05,
338
+ "loss": 0.0493,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 1.096013716245178,
343
+ "grad_norm": 0.12976950407028198,
344
+ "learning_rate": 9.576757979503037e-05,
345
+ "loss": 0.0513,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 1.118874124874982,
350
+ "grad_norm": 0.21009308099746704,
351
+ "learning_rate": 9.544088186697515e-05,
352
+ "loss": 0.0464,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 1.1417345335047864,
357
+ "grad_norm": 0.1863221377134323,
358
+ "learning_rate": 9.5102639733306e-05,
359
+ "loss": 0.0388,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 1.1645949421345907,
364
+ "grad_norm": 0.1924988180398941,
365
+ "learning_rate": 9.475293932406162e-05,
366
+ "loss": 0.0517,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 1.1874553507643948,
371
+ "grad_norm": 0.1228746697306633,
372
+ "learning_rate": 9.439186948024297e-05,
373
+ "loss": 0.0475,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 1.210315759394199,
378
+ "grad_norm": 0.18384294211864471,
379
+ "learning_rate": 9.401952193124315e-05,
380
+ "loss": 0.046,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 1.2331761680240034,
385
+ "grad_norm": 0.1352134793996811,
386
+ "learning_rate": 9.363599127154383e-05,
387
+ "loss": 0.0454,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.2560365766538077,
392
+ "grad_norm": 0.07320581376552582,
393
+ "learning_rate": 9.324137493668352e-05,
394
+ "loss": 0.0379,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 1.278896985283612,
399
+ "grad_norm": 0.14689098298549652,
400
+ "learning_rate": 9.283577317850419e-05,
401
+ "loss": 0.0419,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 1.3017573939134162,
406
+ "grad_norm": 0.14588995277881622,
407
+ "learning_rate": 9.24192890396824e-05,
408
+ "loss": 0.0451,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 1.3246178025432205,
413
+ "grad_norm": 0.17893975973129272,
414
+ "learning_rate": 9.19920283275515e-05,
415
+ "loss": 0.0405,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 1.3474782111730248,
420
+ "grad_norm": 0.17961391806602478,
421
+ "learning_rate": 9.155409958722124e-05,
422
+ "loss": 0.0371,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 1.370338619802829,
427
+ "grad_norm": 0.18520987033843994,
428
+ "learning_rate": 9.110561407400218e-05,
429
+ "loss": 0.0447,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 1.3931990284326332,
434
+ "grad_norm": 0.14877571165561676,
435
+ "learning_rate": 9.064668572514127e-05,
436
+ "loss": 0.0429,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 1.4160594370624375,
441
+ "grad_norm": 0.1054820641875267,
442
+ "learning_rate": 9.01774311308763e-05,
443
+ "loss": 0.036,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 1.4389198456922419,
448
+ "grad_norm": 0.1029554158449173,
449
+ "learning_rate": 8.96979695048162e-05,
450
+ "loss": 0.0473,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 1.461780254322046,
455
+ "grad_norm": 0.26157063245773315,
456
+ "learning_rate": 8.920842265365503e-05,
457
+ "loss": 0.0343,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 1.4846406629518503,
462
+ "grad_norm": 0.12941773235797882,
463
+ "learning_rate": 8.870891494622709e-05,
464
+ "loss": 0.0522,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 1.5075010715816544,
469
+ "grad_norm": 0.11229275912046432,
470
+ "learning_rate": 8.819957328191117e-05,
471
+ "loss": 0.0385,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 1.5303614802114587,
476
+ "grad_norm": 0.2675265073776245,
477
+ "learning_rate": 8.76805270583919e-05,
478
+ "loss": 0.0492,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 1.553221888841263,
483
+ "grad_norm": 0.18951663374900818,
484
+ "learning_rate": 8.715190813878637e-05,
485
+ "loss": 0.0353,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 1.5760822974710673,
490
+ "grad_norm": 0.14573994278907776,
491
+ "learning_rate": 8.661385081814453e-05,
492
+ "loss": 0.0334,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 1.5989427061008716,
497
+ "grad_norm": 0.08593331277370453,
498
+ "learning_rate": 8.606649178933163e-05,
499
+ "loss": 0.0315,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 1.621803114730676,
504
+ "grad_norm": 0.20985154807567596,
505
+ "learning_rate": 8.550997010830154e-05,
506
+ "loss": 0.0369,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 1.64466352336048,
511
+ "grad_norm": 0.2964492738246918,
512
+ "learning_rate": 8.494442715876976e-05,
513
+ "loss": 0.0283,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 1.6675239319902844,
518
+ "grad_norm": 0.11921142041683197,
519
+ "learning_rate": 8.437000661629506e-05,
520
+ "loss": 0.0312,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 1.6903843406200885,
525
+ "grad_norm": 0.20576898753643036,
526
+ "learning_rate": 8.378685441177886e-05,
527
+ "loss": 0.0348,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 1.7132447492498928,
532
+ "grad_norm": 0.27900010347366333,
533
+ "learning_rate": 8.31951186943916e-05,
534
+ "loss": 0.0294,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 1.736105157879697,
539
+ "grad_norm": 0.18257662653923035,
540
+ "learning_rate": 8.259494979393563e-05,
541
+ "loss": 0.0264,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 1.7589655665095014,
546
+ "grad_norm": 0.16247795522212982,
547
+ "learning_rate": 8.198650018265415e-05,
548
+ "loss": 0.0385,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 1.7818259751393057,
553
+ "grad_norm": 0.18227055668830872,
554
+ "learning_rate": 8.136992443649571e-05,
555
+ "loss": 0.0333,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 1.8046863837691098,
560
+ "grad_norm": 0.1283257156610489,
561
+ "learning_rate": 8.074537919584443e-05,
562
+ "loss": 0.0373,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 1.8275467923989142,
567
+ "grad_norm": 0.21598616242408752,
568
+ "learning_rate": 8.011302312572566e-05,
569
+ "loss": 0.0427,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 1.8504072010287183,
574
+ "grad_norm": 0.18352819979190826,
575
+ "learning_rate": 7.947301687549731e-05,
576
+ "loss": 0.04,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 1.8732676096585226,
581
+ "grad_norm": 0.28778374195098877,
582
+ "learning_rate": 7.882552303803705e-05,
583
+ "loss": 0.035,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 1.8961280182883269,
588
+ "grad_norm": 0.11134298145771027,
589
+ "learning_rate": 7.817070610843579e-05,
590
+ "loss": 0.0281,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 1.9189884269181312,
595
+ "grad_norm": 0.2428896129131317,
596
+ "learning_rate": 7.750873244220787e-05,
597
+ "loss": 0.0326,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 1.9418488355479355,
602
+ "grad_norm": 0.21082095801830292,
603
+ "learning_rate": 7.68397702130286e-05,
604
+ "loss": 0.0316,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 1.9647092441777396,
609
+ "grad_norm": 0.14655885100364685,
610
+ "learning_rate": 7.616398937000999e-05,
611
+ "loss": 0.0292,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 1.987569652807544,
616
+ "grad_norm": 0.16203175485134125,
617
+ "learning_rate": 7.548156159452531e-05,
618
+ "loss": 0.0272,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 2.009144163451922,
623
+ "grad_norm": 0.1306605190038681,
624
+ "learning_rate": 7.479266025659365e-05,
625
+ "loss": 0.0209,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 2.032004572081726,
630
+ "grad_norm": 0.13496187329292297,
631
+ "learning_rate": 7.409746037083548e-05,
632
+ "loss": 0.0138,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 2.05486498071153,
637
+ "grad_norm": 0.18669717013835907,
638
+ "learning_rate": 7.339613855201032e-05,
639
+ "loss": 0.0149,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 2.0777253893413343,
644
+ "grad_norm": 0.1247486025094986,
645
+ "learning_rate": 7.2688872970148e-05,
646
+ "loss": 0.0128,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 2.1005857979711386,
651
+ "grad_norm": 0.1156638115644455,
652
+ "learning_rate": 7.197584330528478e-05,
653
+ "loss": 0.0117,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 2.123446206600943,
658
+ "grad_norm": 0.03096736967563629,
659
+ "learning_rate": 7.125723070181576e-05,
660
+ "loss": 0.0143,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 2.1463066152307473,
665
+ "grad_norm": 0.04739869013428688,
666
+ "learning_rate": 7.053321772247545e-05,
667
+ "loss": 0.0099,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 2.1691670238605516,
672
+ "grad_norm": 0.1429280787706375,
673
+ "learning_rate": 6.980398830195785e-05,
674
+ "loss": 0.0109,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 2.192027432490356,
679
+ "grad_norm": 0.2534593343734741,
680
+ "learning_rate": 6.906972770018802e-05,
681
+ "loss": 0.0163,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 2.2148878411201602,
686
+ "grad_norm": 0.1354377567768097,
687
+ "learning_rate": 6.833062245525705e-05,
688
+ "loss": 0.0147,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 2.237748249749964,
693
+ "grad_norm": 0.06828989833593369,
694
+ "learning_rate": 6.758686033603225e-05,
695
+ "loss": 0.0201,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 2.2606086583797684,
700
+ "grad_norm": 0.14169731736183167,
701
+ "learning_rate": 6.683863029445469e-05,
702
+ "loss": 0.0133,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 2.2834690670095728,
707
+ "grad_norm": 0.04132571816444397,
708
+ "learning_rate": 6.608612241753614e-05,
709
+ "loss": 0.0097,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 2.306329475639377,
714
+ "grad_norm": 0.3469948172569275,
715
+ "learning_rate": 6.532952787906771e-05,
716
+ "loss": 0.0139,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 2.3291898842691814,
721
+ "grad_norm": 0.04748811200261116,
722
+ "learning_rate": 6.45690388910523e-05,
723
+ "loss": 0.0153,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 2.3520502928989857,
728
+ "grad_norm": 0.1330500990152359,
729
+ "learning_rate": 6.380484865487347e-05,
730
+ "loss": 0.015,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 2.3749107015287896,
735
+ "grad_norm": 0.14051929116249084,
736
+ "learning_rate": 6.303715131221264e-05,
737
+ "loss": 0.0069,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 2.397771110158594,
742
+ "grad_norm": 0.07501324266195297,
743
+ "learning_rate": 6.22661418957279e-05,
744
+ "loss": 0.0101,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 2.420631518788398,
749
+ "grad_norm": 0.1099422499537468,
750
+ "learning_rate": 6.149201627950593e-05,
751
+ "loss": 0.013,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 2.4434919274182025,
756
+ "grad_norm": 0.09372354298830032,
757
+ "learning_rate": 6.071497112930047e-05,
758
+ "loss": 0.0126,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 2.466352336048007,
763
+ "grad_norm": 0.09480420500040054,
764
+ "learning_rate": 5.99352038525697e-05,
765
+ "loss": 0.0127,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 2.489212744677811,
770
+ "grad_norm": 0.1486363410949707,
771
+ "learning_rate": 5.9152912548324976e-05,
772
+ "loss": 0.016,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 2.5120731533076155,
777
+ "grad_norm": 0.10003609955310822,
778
+ "learning_rate": 5.836829595680406e-05,
779
+ "loss": 0.0128,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 2.53493356193742,
784
+ "grad_norm": 0.08636961132287979,
785
+ "learning_rate": 5.758155340898137e-05,
786
+ "loss": 0.0119,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 2.557793970567224,
791
+ "grad_norm": 0.11953787505626678,
792
+ "learning_rate": 5.679288477592815e-05,
793
+ "loss": 0.0097,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 2.580654379197028,
798
+ "grad_norm": 0.06493639945983887,
799
+ "learning_rate": 5.600249041803545e-05,
800
+ "loss": 0.0105,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 2.6035147878268323,
805
+ "grad_norm": 0.12084943801164627,
806
+ "learning_rate": 5.5210571134112824e-05,
807
+ "loss": 0.0122,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 2.6263751964566366,
812
+ "grad_norm": 0.13135117292404175,
813
+ "learning_rate": 5.44173281103756e-05,
814
+ "loss": 0.0142,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 2.649235605086441,
819
+ "grad_norm": 0.137589693069458,
820
+ "learning_rate": 5.362296286933371e-05,
821
+ "loss": 0.0126,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 2.6720960137162453,
826
+ "grad_norm": 0.058550190180540085,
827
+ "learning_rate": 5.282767721859516e-05,
828
+ "loss": 0.0076,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 2.6949564223460496,
833
+ "grad_norm": 0.07393407076597214,
834
+ "learning_rate": 5.203167319959702e-05,
835
+ "loss": 0.012,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 2.7178168309758535,
840
+ "grad_norm": 0.1508752703666687,
841
+ "learning_rate": 5.123515303627698e-05,
842
+ "loss": 0.009,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 2.740677239605658,
847
+ "grad_norm": 0.1534973382949829,
848
+ "learning_rate": 5.0438319083698714e-05,
849
+ "loss": 0.0101,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 2.763537648235462,
854
+ "grad_norm": 0.14507421851158142,
855
+ "learning_rate": 4.9641373776643616e-05,
856
+ "loss": 0.0081,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 2.7863980568652664,
861
+ "grad_norm": 0.1377381533384323,
862
+ "learning_rate": 4.8844519578182604e-05,
863
+ "loss": 0.0109,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 2.8092584654950707,
868
+ "grad_norm": 0.2066635936498642,
869
+ "learning_rate": 4.804795892824056e-05,
870
+ "loss": 0.0135,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 2.832118874124875,
875
+ "grad_norm": 0.05857717618346214,
876
+ "learning_rate": 4.7251894192166654e-05,
877
+ "loss": 0.0076,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 2.8549792827546794,
882
+ "grad_norm": 0.168072909116745,
883
+ "learning_rate": 4.645652760932376e-05,
884
+ "loss": 0.009,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 2.8778396913844837,
889
+ "grad_norm": 0.17164477705955505,
890
+ "learning_rate": 4.566206124170963e-05,
891
+ "loss": 0.0112,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 2.900700100014288,
896
+ "grad_norm": 0.15097732841968536,
897
+ "learning_rate": 4.486869692262337e-05,
898
+ "loss": 0.0094,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 2.923560508644092,
903
+ "grad_norm": 0.0871570035815239,
904
+ "learning_rate": 4.407663620538985e-05,
905
+ "loss": 0.0101,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 2.946420917273896,
910
+ "grad_norm": 0.13305386900901794,
911
+ "learning_rate": 4.328608031215539e-05,
912
+ "loss": 0.0092,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 2.9692813259037005,
917
+ "grad_norm": 0.23256619274616241,
918
+ "learning_rate": 4.249723008276737e-05,
919
+ "loss": 0.015,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 2.992141734533505,
924
+ "grad_norm": 0.10129191726446152,
925
+ "learning_rate": 4.171028592375125e-05,
926
+ "loss": 0.0124,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 3.0137162451778825,
931
+ "grad_norm": 0.15339592099189758,
932
+ "learning_rate": 4.092544775739735e-05,
933
+ "loss": 0.0067,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 3.036576653807687,
938
+ "grad_norm": 0.03447636589407921,
939
+ "learning_rate": 4.0142914970970926e-05,
940
+ "loss": 0.0047,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 3.059437062437491,
945
+ "grad_norm": 0.056881342083215714,
946
+ "learning_rate": 3.9362886366058025e-05,
947
+ "loss": 0.0074,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 3.0822974710672955,
952
+ "grad_norm": 0.22134284675121307,
953
+ "learning_rate": 3.858556010806013e-05,
954
+ "loss": 0.004,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 3.1051578796970998,
959
+ "grad_norm": 0.12356160581111908,
960
+ "learning_rate": 3.781113367585053e-05,
961
+ "loss": 0.0048,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 3.1280182883269037,
966
+ "grad_norm": 0.03940752521157265,
967
+ "learning_rate": 3.703980381160497e-05,
968
+ "loss": 0.003,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 3.150878696956708,
973
+ "grad_norm": 0.09747901558876038,
974
+ "learning_rate": 3.627176647081954e-05,
975
+ "loss": 0.0056,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 3.1737391055865123,
980
+ "grad_norm": 0.016509221866726875,
981
+ "learning_rate": 3.550721677252839e-05,
982
+ "loss": 0.0017,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 3.1965995142163166,
987
+ "grad_norm": 0.15755465626716614,
988
+ "learning_rate": 3.4746348949733965e-05,
989
+ "loss": 0.003,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 3.219459922846121,
994
+ "grad_norm": 0.017669400200247765,
995
+ "learning_rate": 3.398935630006236e-05,
996
+ "loss": 0.0031,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 3.2423203314759252,
1001
+ "grad_norm": 0.07502660900354385,
1002
+ "learning_rate": 3.32364311366562e-05,
1003
+ "loss": 0.005,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 3.2651807401057296,
1008
+ "grad_norm": 0.4353109300136566,
1009
+ "learning_rate": 3.248776473931774e-05,
1010
+ "loss": 0.0058,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 3.288041148735534,
1015
+ "grad_norm": 0.06076102331280708,
1016
+ "learning_rate": 3.174354730591447e-05,
1017
+ "loss": 0.0055,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 3.3109015573653378,
1022
+ "grad_norm": 0.04932214692234993,
1023
+ "learning_rate": 3.100396790405948e-05,
1024
+ "loss": 0.0041,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 3.333761965995142,
1029
+ "grad_norm": 0.12315461784601212,
1030
+ "learning_rate": 3.026921442307916e-05,
1031
+ "loss": 0.0034,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 3.3566223746249464,
1036
+ "grad_norm": 0.08378969877958298,
1037
+ "learning_rate": 2.9539473526280005e-05,
1038
+ "loss": 0.0021,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 3.3794827832547507,
1043
+ "grad_norm": 0.1416824609041214,
1044
+ "learning_rate": 2.8814930603527068e-05,
1045
+ "loss": 0.0024,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 3.402343191884555,
1050
+ "grad_norm": 0.09372381865978241,
1051
+ "learning_rate": 2.809576972414587e-05,
1052
+ "loss": 0.0023,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 3.4252036005143593,
1057
+ "grad_norm": 0.16745346784591675,
1058
+ "learning_rate": 2.738217359015981e-05,
1059
+ "loss": 0.0041,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 3.4480640091441632,
1064
+ "grad_norm": 0.1455969363451004,
1065
+ "learning_rate": 2.6674323489874843e-05,
1066
+ "loss": 0.0056,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 3.4709244177739675,
1071
+ "grad_norm": 0.07298196107149124,
1072
+ "learning_rate": 2.5972399251823488e-05,
1073
+ "loss": 0.0034,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 3.493784826403772,
1078
+ "grad_norm": 0.024875745177268982,
1079
+ "learning_rate": 2.5276579199079486e-05,
1080
+ "loss": 0.0043,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 3.516645235033576,
1085
+ "grad_norm": 0.17137651145458221,
1086
+ "learning_rate": 2.4587040103955134e-05,
1087
+ "loss": 0.0041,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 3.5395056436633805,
1092
+ "grad_norm": 0.10219382494688034,
1093
+ "learning_rate": 2.39039571430924e-05,
1094
+ "loss": 0.0037,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 3.562366052293185,
1099
+ "grad_norm": 0.05997829884290695,
1100
+ "learning_rate": 2.3227503852959453e-05,
1101
+ "loss": 0.0025,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 3.585226460922989,
1106
+ "grad_norm": 0.022572757676243782,
1107
+ "learning_rate": 2.2557852085764053e-05,
1108
+ "loss": 0.0087,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 3.6080868695527935,
1113
+ "grad_norm": 0.025689126923680305,
1114
+ "learning_rate": 2.189517196579453e-05,
1115
+ "loss": 0.0046,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 3.6309472781825978,
1120
+ "grad_norm": 0.19351957738399506,
1121
+ "learning_rate": 2.1239631846200026e-05,
1122
+ "loss": 0.0041,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 3.6538076868124016,
1127
+ "grad_norm": 0.05244070664048195,
1128
+ "learning_rate": 2.0591398266220502e-05,
1129
+ "loss": 0.0025,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 3.676668095442206,
1134
+ "grad_norm": 0.05331341549754143,
1135
+ "learning_rate": 1.995063590887759e-05,
1136
+ "loss": 0.0045,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 3.6995285040720103,
1141
+ "grad_norm": 0.038474228233098984,
1142
+ "learning_rate": 1.9317507559137184e-05,
1143
+ "loss": 0.0039,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 3.7223889127018146,
1148
+ "grad_norm": 0.046009331941604614,
1149
+ "learning_rate": 1.8692174062553924e-05,
1150
+ "loss": 0.004,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 3.745249321331619,
1155
+ "grad_norm": 0.024187810719013214,
1156
+ "learning_rate": 1.807479428440873e-05,
1157
+ "loss": 0.0024,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 3.768109729961423,
1162
+ "grad_norm": 0.07836172729730606,
1163
+ "learning_rate": 1.746552506934917e-05,
1164
+ "loss": 0.0027,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 3.790970138591227,
1169
+ "grad_norm": 0.0379299558699131,
1170
+ "learning_rate": 1.6864521201543197e-05,
1171
+ "loss": 0.0032,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 3.8138305472210314,
1176
+ "grad_norm": 0.04367607831954956,
1177
+ "learning_rate": 1.627193536535656e-05,
1178
+ "loss": 0.002,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 3.8366909558508357,
1183
+ "grad_norm": 0.18003098666667938,
1184
+ "learning_rate": 1.5687918106563326e-05,
1185
+ "loss": 0.0025,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 3.85955136448064,
1190
+ "grad_norm": 0.04013814404606819,
1191
+ "learning_rate": 1.5112617794100047e-05,
1192
+ "loss": 0.0026,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 3.8824117731104444,
1197
+ "grad_norm": 0.030205566436052322,
1198
+ "learning_rate": 1.454618058237272e-05,
1199
+ "loss": 0.0029,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 3.9052721817402487,
1204
+ "grad_norm": 0.10214164853096008,
1205
+ "learning_rate": 1.3988750374126396e-05,
1206
+ "loss": 0.0026,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 3.928132590370053,
1211
+ "grad_norm": 0.027208510786294937,
1212
+ "learning_rate": 1.344046878388695e-05,
1213
+ "loss": 0.0026,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 3.9509929989998573,
1218
+ "grad_norm": 0.020535435527563095,
1219
+ "learning_rate": 1.2901475101983939e-05,
1220
+ "loss": 0.0018,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 3.973853407629661,
1225
+ "grad_norm": 0.03657793253660202,
1226
+ "learning_rate": 1.2371906259164168e-05,
1227
+ "loss": 0.0023,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 3.9967138162594655,
1232
+ "grad_norm": 0.037314701825380325,
1233
+ "learning_rate": 1.1851896791804507e-05,
1234
+ "loss": 0.004,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 4.018288326903844,
1239
+ "grad_norm": 0.01339447870850563,
1240
+ "learning_rate": 1.1341578807733088e-05,
1241
+ "loss": 0.0017,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 4.041148735533648,
1246
+ "grad_norm": 0.0763229951262474,
1247
+ "learning_rate": 1.0841081952667498e-05,
1248
+ "loss": 0.0018,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 4.064009144163452,
1253
+ "grad_norm": 0.029324688017368317,
1254
+ "learning_rate": 1.0350533377278353e-05,
1255
+ "loss": 0.0015,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 4.086869552793257,
1260
+ "grad_norm": 0.021862059831619263,
1261
+ "learning_rate": 9.870057704886908e-06,
1262
+ "loss": 0.0011,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 4.10972996142306,
1267
+ "grad_norm": 0.011852990835905075,
1268
+ "learning_rate": 9.399776999804566e-06,
1269
+ "loss": 0.0012,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 4.132590370052864,
1274
+ "grad_norm": 0.022478003054857254,
1275
+ "learning_rate": 8.939810736322574e-06,
1276
+ "loss": 0.0013,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 4.155450778682669,
1281
+ "grad_norm": 0.08652134984731674,
1282
+ "learning_rate": 8.490275768359784e-06,
1283
+ "loss": 0.0017,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 4.178311187312473,
1288
+ "grad_norm": 0.03378741443157196,
1289
+ "learning_rate": 8.051286299775951e-06,
1290
+ "loss": 0.0015,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 4.201171595942277,
1295
+ "grad_norm": 0.0582275353372097,
1296
+ "learning_rate": 7.6229538553584556e-06,
1297
+ "loss": 0.0011,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 4.224032004572082,
1302
+ "grad_norm": 0.016311751678586006,
1303
+ "learning_rate": 7.20538725248947e-06,
1304
+ "loss": 0.0024,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 4.246892413201886,
1309
+ "grad_norm": 0.017814885824918747,
1310
+ "learning_rate": 6.798692573501114e-06,
1311
+ "loss": 0.0011,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 4.26975282183169,
1316
+ "grad_norm": 0.029111934825778008,
1317
+ "learning_rate": 6.402973138725282e-06,
1318
+ "loss": 0.0013,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 4.292613230461495,
1323
+ "grad_norm": 0.08662671595811844,
1324
+ "learning_rate": 6.018329480245255e-06,
1325
+ "loss": 0.0017,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 4.315473639091299,
1330
+ "grad_norm": 0.026320841163396835,
1331
+ "learning_rate": 5.64485931635565e-06,
1332
+ "loss": 0.0014,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 4.338334047721103,
1337
+ "grad_norm": 0.01906999573111534,
1338
+ "learning_rate": 5.2826575267371615e-06,
1339
+ "loss": 0.0039,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 4.3611944563509075,
1344
+ "grad_norm": 0.019031250849366188,
1345
+ "learning_rate": 4.931816128352534e-06,
1346
+ "loss": 0.0011,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 4.384054864980712,
1351
+ "grad_norm": 0.14129675924777985,
1352
+ "learning_rate": 4.592424252069705e-06,
1353
+ "loss": 0.0017,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 4.406915273610516,
1358
+ "grad_norm": 0.012528040446341038,
1359
+ "learning_rate": 4.26456812001822e-06,
1360
+ "loss": 0.0014,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 4.4297756822403205,
1365
+ "grad_norm": 0.02767062373459339,
1366
+ "learning_rate": 3.948331023684637e-06,
1367
+ "loss": 0.0014,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 4.452636090870124,
1372
+ "grad_norm": 0.03427803888916969,
1373
+ "learning_rate": 3.64379330275233e-06,
1374
+ "loss": 0.0014,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 4.475496499499928,
1379
+ "grad_norm": 0.01602611131966114,
1380
+ "learning_rate": 3.3510323246913887e-06,
1381
+ "loss": 0.001,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 4.4983569081297325,
1386
+ "grad_norm": 0.031283311545848846,
1387
+ "learning_rate": 3.07012246510342e-06,
1388
+ "loss": 0.001,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 4.521217316759537,
1393
+ "grad_norm": 0.010646236129105091,
1394
+ "learning_rate": 2.801135088826529e-06,
1395
+ "loss": 0.0011,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 4.544077725389341,
1400
+ "grad_norm": 0.040134090930223465,
1401
+ "learning_rate": 2.5441385318051735e-06,
1402
+ "loss": 0.0012,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 4.5669381340191455,
1407
+ "grad_norm": 0.020084287971258163,
1408
+ "learning_rate": 2.2991980837294757e-06,
1409
+ "loss": 0.001,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 4.58979854264895,
1414
+ "grad_norm": 0.023815790191292763,
1415
+ "learning_rate": 2.066375971448481e-06,
1416
+ "loss": 0.0013,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 4.612658951278754,
1421
+ "grad_norm": 0.054296255111694336,
1422
+ "learning_rate": 1.8457313431614498e-06,
1423
+ "loss": 0.0015,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 4.6355193599085585,
1428
+ "grad_norm": 0.030289700254797935,
1429
+ "learning_rate": 1.6373202533913556e-06,
1430
+ "loss": 0.0009,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 4.658379768538363,
1435
+ "grad_norm": 0.01671276055276394,
1436
+ "learning_rate": 1.4411956487442925e-06,
1437
+ "loss": 0.0012,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 4.681240177168167,
1442
+ "grad_norm": 0.034442536532878876,
1443
+ "learning_rate": 1.2574073544584286e-06,
1444
+ "loss": 0.001,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 4.704100585797971,
1449
+ "grad_norm": 0.06515878438949585,
1450
+ "learning_rate": 1.0860020617459887e-06,
1451
+ "loss": 0.0018,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 4.726960994427776,
1456
+ "grad_norm": 0.008722376078367233,
1457
+ "learning_rate": 9.270233159313912e-07,
1458
+ "loss": 0.0013,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 4.749821403057579,
1463
+ "grad_norm": 0.006462674122303724,
1464
+ "learning_rate": 7.805115053885758e-07,
1465
+ "loss": 0.0016,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 4.772681811687384,
1470
+ "grad_norm": 0.018205828964710236,
1471
+ "learning_rate": 6.465038512804555e-07,
1472
+ "loss": 0.0009,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 4.795542220317188,
1477
+ "grad_norm": 0.011852984316647053,
1478
+ "learning_rate": 5.250343981028305e-07,
1479
+ "loss": 0.0009,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 4.818402628946992,
1484
+ "grad_norm": 0.04381529241800308,
1485
+ "learning_rate": 4.1613400503550114e-07,
1486
+ "loss": 0.001,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 4.841263037576796,
1491
+ "grad_norm": 0.06918981671333313,
1492
+ "learning_rate": 3.1983033810248366e-07,
1493
+ "loss": 0.0017,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 4.864123446206601,
1498
+ "grad_norm": 0.009174630045890808,
1499
+ "learning_rate": 2.3614786314348768e-07,
1500
+ "loss": 0.0011,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 4.886983854836405,
1505
+ "grad_norm": 0.0225895494222641,
1506
+ "learning_rate": 1.651078395984329e-07,
1507
+ "loss": 0.0018,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 4.909844263466209,
1512
+ "grad_norm": 0.02551046386361122,
1513
+ "learning_rate": 1.0672831510645242e-07,
1514
+ "loss": 0.0017,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 4.932704672096014,
1519
+ "grad_norm": 0.03379609063267708,
1520
+ "learning_rate": 6.102412092097165e-08,
1521
+ "loss": 0.0015,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 4.955565080725818,
1526
+ "grad_norm": 0.03675275668501854,
1527
+ "learning_rate": 2.8006868141805533e-08,
1528
+ "loss": 0.0011,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 4.978425489355622,
1533
+ "grad_norm": 0.12221638858318329,
1534
+ "learning_rate": 7.684944765379286e-09,
1535
+ "loss": 0.0016,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 5.0,
1540
+ "grad_norm": 0.0298867579549551,
1541
+ "learning_rate": 6.351355378297896e-11,
1542
+ "loss": 0.0018,
1543
+ "step": 2190
1544
+ }
1545
+ ],
1546
+ "logging_steps": 10,
1547
+ "max_steps": 2190,
1548
+ "num_input_tokens_seen": 0,
1549
+ "num_train_epochs": 5,
1550
+ "save_steps": 250,
1551
+ "stateful_callbacks": {
1552
+ "TrainerControl": {
1553
+ "args": {
1554
+ "should_epoch_stop": false,
1555
+ "should_evaluate": false,
1556
+ "should_log": false,
1557
+ "should_save": true,
1558
+ "should_training_stop": true
1559
+ },
1560
+ "attributes": {}
1561
+ }
1562
+ },
1563
+ "total_flos": 5.1069953280835584e+17,
1564
+ "train_batch_size": 1,
1565
+ "trial_name": null,
1566
+ "trial_params": null
1567
+ }
checkpoint-2190/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d307b97811482d7107b2c2d37efb72e66e5e343ee5862d771d5d8278d370a73a
3
+ size 5777