hemingkx commited on
Commit
467cd56
·
verified ·
1 Parent(s): 286b217

Upload 14 files

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,202 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-14B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-14B-Instruct",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "k_proj",
24
+ "v_proj",
25
+ "q_proj",
26
+ "up_proj",
27
+ "o_proj",
28
+ "down_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c29e3552764c89bf3e28b3b32e4e8be7d6ac5552aa2ac436c91ef8f0e2df2887
3
+ size 137714904
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
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a112b587d00ecd018002885eda9ee76b6083d1e2ded5c2af5f4af62efa89e762
3
+ size 275817586
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c062f7f375beded48b5337f5a3f3a5cb38807fa3e85dbf3e294c0ab6b627bfc2
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80d4b383a98bd11ebc2c93bd98b2013288eab3e010e0d42e05c449ee787d19b9
3
+ size 1064
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
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
trainer_state.json ADDED
@@ -0,0 +1,905 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9040063466878223,
5
+ "eval_steps": 300,
6
+ "global_step": 1200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01586671955573185,
13
+ "grad_norm": 0.6832552552223206,
14
+ "learning_rate": 2.6455026455026455e-06,
15
+ "loss": 1.3171,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.0317334391114637,
20
+ "grad_norm": 0.9994391798973083,
21
+ "learning_rate": 5.291005291005291e-06,
22
+ "loss": 1.1922,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.04760015866719556,
27
+ "grad_norm": 0.9905434846878052,
28
+ "learning_rate": 7.936507936507936e-06,
29
+ "loss": 1.2352,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.0634668782229274,
34
+ "grad_norm": 1.0371067523956299,
35
+ "learning_rate": 1.0582010582010582e-05,
36
+ "loss": 1.1191,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.07933359777865927,
41
+ "grad_norm": 0.9686773419380188,
42
+ "learning_rate": 1.3227513227513228e-05,
43
+ "loss": 1.0697,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.09520031733439112,
48
+ "grad_norm": 0.5632955431938171,
49
+ "learning_rate": 1.5873015873015872e-05,
50
+ "loss": 0.741,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.11106703689012297,
55
+ "grad_norm": 0.4180806875228882,
56
+ "learning_rate": 1.8518518518518518e-05,
57
+ "loss": 0.6942,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.1269337564458548,
62
+ "grad_norm": 0.3943168520927429,
63
+ "learning_rate": 2.1164021164021164e-05,
64
+ "loss": 0.6314,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.14280047600158668,
69
+ "grad_norm": 0.3465676009654999,
70
+ "learning_rate": 2.380952380952381e-05,
71
+ "loss": 0.6257,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.15866719555731854,
76
+ "grad_norm": 0.3200153708457947,
77
+ "learning_rate": 2.6455026455026456e-05,
78
+ "loss": 0.5426,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.1745339151130504,
83
+ "grad_norm": 0.28294724225997925,
84
+ "learning_rate": 2.91005291005291e-05,
85
+ "loss": 0.5209,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.19040063466878224,
90
+ "grad_norm": 0.3477802574634552,
91
+ "learning_rate": 3.1746031746031745e-05,
92
+ "loss": 0.4633,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.2062673542245141,
97
+ "grad_norm": 0.36890918016433716,
98
+ "learning_rate": 3.439153439153439e-05,
99
+ "loss": 0.3798,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.22213407378024594,
104
+ "grad_norm": 0.38711702823638916,
105
+ "learning_rate": 3.7037037037037037e-05,
106
+ "loss": 0.4397,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.2380007933359778,
111
+ "grad_norm": 0.4116644859313965,
112
+ "learning_rate": 3.968253968253968e-05,
113
+ "loss": 0.4021,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.2538675128917096,
118
+ "grad_norm": 0.402497798204422,
119
+ "learning_rate": 4.232804232804233e-05,
120
+ "loss": 0.3796,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.2697342324474415,
125
+ "grad_norm": 0.6916673183441162,
126
+ "learning_rate": 4.4973544973544974e-05,
127
+ "loss": 0.4462,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.28560095200317337,
132
+ "grad_norm": 0.49015486240386963,
133
+ "learning_rate": 4.761904761904762e-05,
134
+ "loss": 0.3902,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.3014676715589052,
139
+ "grad_norm": 0.4605613648891449,
140
+ "learning_rate": 4.999995736158938e-05,
141
+ "loss": 0.3751,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.31733439111463707,
146
+ "grad_norm": 0.3663236200809479,
147
+ "learning_rate": 4.999484092829756e-05,
148
+ "loss": 0.3399,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.3332011106703689,
153
+ "grad_norm": 0.6052913069725037,
154
+ "learning_rate": 4.998119881260576e-05,
155
+ "loss": 0.3738,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.3490678302261008,
160
+ "grad_norm": 0.5979182720184326,
161
+ "learning_rate": 4.995903566780805e-05,
162
+ "loss": 0.3732,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.3649345497818326,
167
+ "grad_norm": 0.7640148401260376,
168
+ "learning_rate": 4.992835905370186e-05,
169
+ "loss": 0.4339,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.3808012693375645,
174
+ "grad_norm": 0.5569157600402832,
175
+ "learning_rate": 4.988917943400924e-05,
176
+ "loss": 0.3893,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.3966679888932963,
181
+ "grad_norm": 0.6464380621910095,
182
+ "learning_rate": 4.9841510172807834e-05,
183
+ "loss": 0.3642,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.4125347084490282,
188
+ "grad_norm": 0.5494194030761719,
189
+ "learning_rate": 4.97853675299723e-05,
190
+ "loss": 0.3481,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.42840142800476,
195
+ "grad_norm": 0.5208620429039001,
196
+ "learning_rate": 4.972077065562821e-05,
197
+ "loss": 0.3968,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.4442681475604919,
202
+ "grad_norm": 0.6078989505767822,
203
+ "learning_rate": 4.964774158361991e-05,
204
+ "loss": 0.337,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.4601348671162237,
209
+ "grad_norm": 0.5791096687316895,
210
+ "learning_rate": 4.956630522399487e-05,
211
+ "loss": 0.3495,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.4760015866719556,
216
+ "grad_norm": 0.5267443060874939,
217
+ "learning_rate": 4.947648935450689e-05,
218
+ "loss": 0.3191,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.4760015866719556,
223
+ "eval_loss": 0.38255831599235535,
224
+ "eval_runtime": 93.6436,
225
+ "eval_samples_per_second": 5.991,
226
+ "eval_steps_per_second": 5.991,
227
+ "step": 300
228
+ },
229
+ {
230
+ "epoch": 0.4918683062276874,
231
+ "grad_norm": 0.42828086018562317,
232
+ "learning_rate": 4.937832461114123e-05,
233
+ "loss": 0.3164,
234
+ "step": 310
235
+ },
236
+ {
237
+ "epoch": 0.5077350257834192,
238
+ "grad_norm": 0.5684987306594849,
239
+ "learning_rate": 4.927184447766467e-05,
240
+ "loss": 0.3047,
241
+ "step": 320
242
+ },
243
+ {
244
+ "epoch": 0.5236017453391512,
245
+ "grad_norm": 0.6015241742134094,
246
+ "learning_rate": 4.915708527420435e-05,
247
+ "loss": 0.2568,
248
+ "step": 330
249
+ },
250
+ {
251
+ "epoch": 0.539468464894883,
252
+ "grad_norm": 0.7351698279380798,
253
+ "learning_rate": 4.903408614485899e-05,
254
+ "loss": 0.3554,
255
+ "step": 340
256
+ },
257
+ {
258
+ "epoch": 0.5553351844506148,
259
+ "grad_norm": 0.5476783514022827,
260
+ "learning_rate": 4.890288904434699e-05,
261
+ "loss": 0.2934,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 0.5712019040063467,
266
+ "grad_norm": 0.7653456330299377,
267
+ "learning_rate": 4.8763538723695726e-05,
268
+ "loss": 0.3548,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 0.5870686235620786,
273
+ "grad_norm": 0.5909974575042725,
274
+ "learning_rate": 4.8616082714977097e-05,
275
+ "loss": 0.2958,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 0.6029353431178104,
280
+ "grad_norm": 0.8618314266204834,
281
+ "learning_rate": 4.8460571315094456e-05,
282
+ "loss": 0.3323,
283
+ "step": 380
284
+ },
285
+ {
286
+ "epoch": 0.6188020626735422,
287
+ "grad_norm": 0.43425798416137695,
288
+ "learning_rate": 4.829705756862642e-05,
289
+ "loss": 0.3256,
290
+ "step": 390
291
+ },
292
+ {
293
+ "epoch": 0.6346687822292741,
294
+ "grad_norm": 0.6728402972221375,
295
+ "learning_rate": 4.812559724973355e-05,
296
+ "loss": 0.3289,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 0.650535501785006,
301
+ "grad_norm": 0.6804693341255188,
302
+ "learning_rate": 4.79462488431338e-05,
303
+ "loss": 0.3494,
304
+ "step": 410
305
+ },
306
+ {
307
+ "epoch": 0.6664022213407378,
308
+ "grad_norm": 0.7322263121604919,
309
+ "learning_rate": 4.775907352415367e-05,
310
+ "loss": 0.286,
311
+ "step": 420
312
+ },
313
+ {
314
+ "epoch": 0.6822689408964696,
315
+ "grad_norm": 0.5389537215232849,
316
+ "learning_rate": 4.75641351378613e-05,
317
+ "loss": 0.2597,
318
+ "step": 430
319
+ },
320
+ {
321
+ "epoch": 0.6981356604522015,
322
+ "grad_norm": 0.7679384350776672,
323
+ "learning_rate": 4.7361500177289156e-05,
324
+ "loss": 0.3265,
325
+ "step": 440
326
+ },
327
+ {
328
+ "epoch": 0.7140023800079334,
329
+ "grad_norm": 0.9662689566612244,
330
+ "learning_rate": 4.715123776075336e-05,
331
+ "loss": 0.3493,
332
+ "step": 450
333
+ },
334
+ {
335
+ "epoch": 0.7298690995636652,
336
+ "grad_norm": 0.7264727354049683,
337
+ "learning_rate": 4.693341960827764e-05,
338
+ "loss": 0.3412,
339
+ "step": 460
340
+ },
341
+ {
342
+ "epoch": 0.745735819119397,
343
+ "grad_norm": 0.6046968698501587,
344
+ "learning_rate": 4.670812001712973e-05,
345
+ "loss": 0.349,
346
+ "step": 470
347
+ },
348
+ {
349
+ "epoch": 0.761602538675129,
350
+ "grad_norm": 0.7867446541786194,
351
+ "learning_rate": 4.647541583647883e-05,
352
+ "loss": 0.3394,
353
+ "step": 480
354
+ },
355
+ {
356
+ "epoch": 0.7774692582308608,
357
+ "grad_norm": 0.7447336912155151,
358
+ "learning_rate": 4.623538644118244e-05,
359
+ "loss": 0.3738,
360
+ "step": 490
361
+ },
362
+ {
363
+ "epoch": 0.7933359777865926,
364
+ "grad_norm": 0.5049989819526672,
365
+ "learning_rate": 4.5988113704711846e-05,
366
+ "loss": 0.2899,
367
+ "step": 500
368
+ },
369
+ {
370
+ "epoch": 0.8092026973423245,
371
+ "grad_norm": 0.8148102164268494,
372
+ "learning_rate": 4.573368197122524e-05,
373
+ "loss": 0.3144,
374
+ "step": 510
375
+ },
376
+ {
377
+ "epoch": 0.8250694168980564,
378
+ "grad_norm": 0.7628346681594849,
379
+ "learning_rate": 4.547217802679814e-05,
380
+ "loss": 0.2996,
381
+ "step": 520
382
+ },
383
+ {
384
+ "epoch": 0.8409361364537882,
385
+ "grad_norm": 0.6373751759529114,
386
+ "learning_rate": 4.520369106982084e-05,
387
+ "loss": 0.2887,
388
+ "step": 530
389
+ },
390
+ {
391
+ "epoch": 0.85680285600952,
392
+ "grad_norm": 0.6852309107780457,
393
+ "learning_rate": 4.4928312680573064e-05,
394
+ "loss": 0.2862,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 0.8726695755652519,
399
+ "grad_norm": 0.7369856238365173,
400
+ "learning_rate": 4.464613678998612e-05,
401
+ "loss": 0.3386,
402
+ "step": 550
403
+ },
404
+ {
405
+ "epoch": 0.8885362951209838,
406
+ "grad_norm": 0.6538604497909546,
407
+ "learning_rate": 4.435725964760331e-05,
408
+ "loss": 0.3225,
409
+ "step": 560
410
+ },
411
+ {
412
+ "epoch": 0.9044030146767156,
413
+ "grad_norm": 0.8635338544845581,
414
+ "learning_rate": 4.406177978874941e-05,
415
+ "loss": 0.3328,
416
+ "step": 570
417
+ },
418
+ {
419
+ "epoch": 0.9202697342324474,
420
+ "grad_norm": 0.9363442063331604,
421
+ "learning_rate": 4.3759798000920496e-05,
422
+ "loss": 0.3315,
423
+ "step": 580
424
+ },
425
+ {
426
+ "epoch": 0.9361364537881793,
427
+ "grad_norm": 0.7191005349159241,
428
+ "learning_rate": 4.3451417289405586e-05,
429
+ "loss": 0.271,
430
+ "step": 590
431
+ },
432
+ {
433
+ "epoch": 0.9520031733439112,
434
+ "grad_norm": 0.7281237244606018,
435
+ "learning_rate": 4.313674284215176e-05,
436
+ "loss": 0.2945,
437
+ "step": 600
438
+ },
439
+ {
440
+ "epoch": 0.9520031733439112,
441
+ "eval_loss": 0.3320656418800354,
442
+ "eval_runtime": 93.5162,
443
+ "eval_samples_per_second": 5.999,
444
+ "eval_steps_per_second": 5.999,
445
+ "step": 600
446
+ },
447
+ {
448
+ "epoch": 0.967869892899643,
449
+ "grad_norm": 0.6777219176292419,
450
+ "learning_rate": 4.281588199388476e-05,
451
+ "loss": 0.2844,
452
+ "step": 610
453
+ },
454
+ {
455
+ "epoch": 0.9837366124553748,
456
+ "grad_norm": 0.7066994905471802,
457
+ "learning_rate": 4.248894418949746e-05,
458
+ "loss": 0.3348,
459
+ "step": 620
460
+ },
461
+ {
462
+ "epoch": 0.9996033320111067,
463
+ "grad_norm": 0.5948446989059448,
464
+ "learning_rate": 4.215604094671835e-05,
465
+ "loss": 0.2532,
466
+ "step": 630
467
+ },
468
+ {
469
+ "epoch": 1.0154700515668384,
470
+ "grad_norm": 0.8124284744262695,
471
+ "learning_rate": 4.181728581807316e-05,
472
+ "loss": 0.3068,
473
+ "step": 640
474
+ },
475
+ {
476
+ "epoch": 1.0313367711225705,
477
+ "grad_norm": 0.6020251512527466,
478
+ "learning_rate": 4.1472794352152366e-05,
479
+ "loss": 0.2912,
480
+ "step": 650
481
+ },
482
+ {
483
+ "epoch": 1.0472034906783023,
484
+ "grad_norm": 0.9106693863868713,
485
+ "learning_rate": 4.112268405419782e-05,
486
+ "loss": 0.2739,
487
+ "step": 660
488
+ },
489
+ {
490
+ "epoch": 1.0630702102340341,
491
+ "grad_norm": 0.9437083005905151,
492
+ "learning_rate": 4.076707434602194e-05,
493
+ "loss": 0.2563,
494
+ "step": 670
495
+ },
496
+ {
497
+ "epoch": 1.078936929789766,
498
+ "grad_norm": 0.7824203968048096,
499
+ "learning_rate": 4.040608652527328e-05,
500
+ "loss": 0.2898,
501
+ "step": 680
502
+ },
503
+ {
504
+ "epoch": 1.0948036493454978,
505
+ "grad_norm": 0.8340286612510681,
506
+ "learning_rate": 4.003984372406212e-05,
507
+ "loss": 0.2665,
508
+ "step": 690
509
+ },
510
+ {
511
+ "epoch": 1.1106703689012296,
512
+ "grad_norm": 0.7771459817886353,
513
+ "learning_rate": 3.966847086696045e-05,
514
+ "loss": 0.2711,
515
+ "step": 700
516
+ },
517
+ {
518
+ "epoch": 1.1265370884569614,
519
+ "grad_norm": 0.6131294369697571,
520
+ "learning_rate": 3.929209462839041e-05,
521
+ "loss": 0.2825,
522
+ "step": 710
523
+ },
524
+ {
525
+ "epoch": 1.1424038080126935,
526
+ "grad_norm": 0.8090108633041382,
527
+ "learning_rate": 3.891084338941603e-05,
528
+ "loss": 0.2725,
529
+ "step": 720
530
+ },
531
+ {
532
+ "epoch": 1.1582705275684253,
533
+ "grad_norm": 0.6462133526802063,
534
+ "learning_rate": 3.852484719395264e-05,
535
+ "loss": 0.2406,
536
+ "step": 730
537
+ },
538
+ {
539
+ "epoch": 1.1741372471241571,
540
+ "grad_norm": 0.7676876783370972,
541
+ "learning_rate": 3.8134237704409295e-05,
542
+ "loss": 0.2648,
543
+ "step": 740
544
+ },
545
+ {
546
+ "epoch": 1.190003966679889,
547
+ "grad_norm": 0.8399226665496826,
548
+ "learning_rate": 3.773914815677897e-05,
549
+ "loss": 0.2693,
550
+ "step": 750
551
+ },
552
+ {
553
+ "epoch": 1.2058706862356208,
554
+ "grad_norm": 0.7439931631088257,
555
+ "learning_rate": 3.733971331519206e-05,
556
+ "loss": 0.2602,
557
+ "step": 760
558
+ },
559
+ {
560
+ "epoch": 1.2217374057913526,
561
+ "grad_norm": 0.7992270588874817,
562
+ "learning_rate": 3.693606942594873e-05,
563
+ "loss": 0.2647,
564
+ "step": 770
565
+ },
566
+ {
567
+ "epoch": 1.2376041253470844,
568
+ "grad_norm": 0.8335320949554443,
569
+ "learning_rate": 3.65283541710455e-05,
570
+ "loss": 0.2723,
571
+ "step": 780
572
+ },
573
+ {
574
+ "epoch": 1.2534708449028162,
575
+ "grad_norm": 0.813829779624939,
576
+ "learning_rate": 3.611670662121234e-05,
577
+ "loss": 0.2285,
578
+ "step": 790
579
+ },
580
+ {
581
+ "epoch": 1.269337564458548,
582
+ "grad_norm": 1.047428846359253,
583
+ "learning_rate": 3.570126718847589e-05,
584
+ "loss": 0.2788,
585
+ "step": 800
586
+ },
587
+ {
588
+ "epoch": 1.28520428401428,
589
+ "grad_norm": 1.1291059255599976,
590
+ "learning_rate": 3.5282177578265296e-05,
591
+ "loss": 0.3008,
592
+ "step": 810
593
+ },
594
+ {
595
+ "epoch": 1.301071003570012,
596
+ "grad_norm": 0.6732133626937866,
597
+ "learning_rate": 3.485958074107677e-05,
598
+ "loss": 0.2446,
599
+ "step": 820
600
+ },
601
+ {
602
+ "epoch": 1.3169377231257438,
603
+ "grad_norm": 0.8102436065673828,
604
+ "learning_rate": 3.4433620823713564e-05,
605
+ "loss": 0.2646,
606
+ "step": 830
607
+ },
608
+ {
609
+ "epoch": 1.3328044426814756,
610
+ "grad_norm": 0.8745511770248413,
611
+ "learning_rate": 3.400444312011776e-05,
612
+ "loss": 0.2606,
613
+ "step": 840
614
+ },
615
+ {
616
+ "epoch": 1.3486711622372074,
617
+ "grad_norm": 0.8574343323707581,
618
+ "learning_rate": 3.3572194021810896e-05,
619
+ "loss": 0.2294,
620
+ "step": 850
621
+ },
622
+ {
623
+ "epoch": 1.3645378817929394,
624
+ "grad_norm": 0.9338182806968689,
625
+ "learning_rate": 3.3137020967960154e-05,
626
+ "loss": 0.2551,
627
+ "step": 860
628
+ },
629
+ {
630
+ "epoch": 1.3804046013486713,
631
+ "grad_norm": 0.7893859148025513,
632
+ "learning_rate": 3.269907239508714e-05,
633
+ "loss": 0.231,
634
+ "step": 870
635
+ },
636
+ {
637
+ "epoch": 1.396271320904403,
638
+ "grad_norm": 0.9416842460632324,
639
+ "learning_rate": 3.2258497686436606e-05,
640
+ "loss": 0.2528,
641
+ "step": 880
642
+ },
643
+ {
644
+ "epoch": 1.412138040460135,
645
+ "grad_norm": 0.7524838447570801,
646
+ "learning_rate": 3.181544712102216e-05,
647
+ "loss": 0.2669,
648
+ "step": 890
649
+ },
650
+ {
651
+ "epoch": 1.4280047600158667,
652
+ "grad_norm": 0.9508939981460571,
653
+ "learning_rate": 3.137007182236637e-05,
654
+ "loss": 0.2436,
655
+ "step": 900
656
+ },
657
+ {
658
+ "epoch": 1.4280047600158667,
659
+ "eval_loss": 0.31376519799232483,
660
+ "eval_runtime": 93.4332,
661
+ "eval_samples_per_second": 6.004,
662
+ "eval_steps_per_second": 6.004,
663
+ "step": 900
664
+ },
665
+ {
666
+ "epoch": 1.4438714795715986,
667
+ "grad_norm": 1.3880516290664673,
668
+ "learning_rate": 3.092252370695298e-05,
669
+ "loss": 0.2781,
670
+ "step": 910
671
+ },
672
+ {
673
+ "epoch": 1.4597381991273304,
674
+ "grad_norm": 0.7659589648246765,
675
+ "learning_rate": 3.0472955432408485e-05,
676
+ "loss": 0.294,
677
+ "step": 920
678
+ },
679
+ {
680
+ "epoch": 1.4756049186830622,
681
+ "grad_norm": 0.7849363088607788,
682
+ "learning_rate": 3.002152034543098e-05,
683
+ "loss": 0.2768,
684
+ "step": 930
685
+ },
686
+ {
687
+ "epoch": 1.491471638238794,
688
+ "grad_norm": 0.666022777557373,
689
+ "learning_rate": 2.9568372429483966e-05,
690
+ "loss": 0.2526,
691
+ "step": 940
692
+ },
693
+ {
694
+ "epoch": 1.5073383577945259,
695
+ "grad_norm": 0.9934321641921997,
696
+ "learning_rate": 2.9113666252272943e-05,
697
+ "loss": 0.2524,
698
+ "step": 950
699
+ },
700
+ {
701
+ "epoch": 1.5232050773502577,
702
+ "grad_norm": 0.8849703073501587,
703
+ "learning_rate": 2.865755691302272e-05,
704
+ "loss": 0.2905,
705
+ "step": 960
706
+ },
707
+ {
708
+ "epoch": 1.5390717969059897,
709
+ "grad_norm": 0.7805452942848206,
710
+ "learning_rate": 2.8200199989573432e-05,
711
+ "loss": 0.242,
712
+ "step": 970
713
+ },
714
+ {
715
+ "epoch": 1.5549385164617215,
716
+ "grad_norm": 0.9101535081863403,
717
+ "learning_rate": 2.7741751485313296e-05,
718
+ "loss": 0.2178,
719
+ "step": 980
720
+ },
721
+ {
722
+ "epoch": 1.5708052360174534,
723
+ "grad_norm": 1.0016871690750122,
724
+ "learning_rate": 2.728236777596621e-05,
725
+ "loss": 0.2738,
726
+ "step": 990
727
+ },
728
+ {
729
+ "epoch": 1.5866719555731852,
730
+ "grad_norm": 0.7558535933494568,
731
+ "learning_rate": 2.6822205556252383e-05,
732
+ "loss": 0.2363,
733
+ "step": 1000
734
+ },
735
+ {
736
+ "epoch": 1.6025386751289172,
737
+ "grad_norm": 0.886492908000946,
738
+ "learning_rate": 2.636142178644009e-05,
739
+ "loss": 0.2645,
740
+ "step": 1010
741
+ },
742
+ {
743
+ "epoch": 1.618405394684649,
744
+ "grad_norm": 0.9074681997299194,
745
+ "learning_rate": 2.590017363880691e-05,
746
+ "loss": 0.2616,
747
+ "step": 1020
748
+ },
749
+ {
750
+ "epoch": 1.6342721142403809,
751
+ "grad_norm": 0.7710486054420471,
752
+ "learning_rate": 2.5438618444028627e-05,
753
+ "loss": 0.2776,
754
+ "step": 1030
755
+ },
756
+ {
757
+ "epoch": 1.6501388337961127,
758
+ "grad_norm": 0.5658883452415466,
759
+ "learning_rate": 2.4976913637514103e-05,
760
+ "loss": 0.2259,
761
+ "step": 1040
762
+ },
763
+ {
764
+ "epoch": 1.6660055533518445,
765
+ "grad_norm": 0.871059000492096,
766
+ "learning_rate": 2.4515216705704395e-05,
767
+ "loss": 0.2106,
768
+ "step": 1050
769
+ },
770
+ {
771
+ "epoch": 1.6818722729075763,
772
+ "grad_norm": 0.6641427874565125,
773
+ "learning_rate": 2.405368513235453e-05,
774
+ "loss": 0.2242,
775
+ "step": 1060
776
+ },
777
+ {
778
+ "epoch": 1.6977389924633082,
779
+ "grad_norm": 0.8793797492980957,
780
+ "learning_rate": 2.359247634481615e-05,
781
+ "loss": 0.2555,
782
+ "step": 1070
783
+ },
784
+ {
785
+ "epoch": 1.71360571201904,
786
+ "grad_norm": 0.9106749296188354,
787
+ "learning_rate": 2.3131747660339394e-05,
788
+ "loss": 0.2903,
789
+ "step": 1080
790
+ },
791
+ {
792
+ "epoch": 1.7294724315747718,
793
+ "grad_norm": 0.8714670538902283,
794
+ "learning_rate": 2.2671656232412378e-05,
795
+ "loss": 0.2885,
796
+ "step": 1090
797
+ },
798
+ {
799
+ "epoch": 1.7453391511305036,
800
+ "grad_norm": 0.7964282631874084,
801
+ "learning_rate": 2.2212358997156445e-05,
802
+ "loss": 0.2579,
803
+ "step": 1100
804
+ },
805
+ {
806
+ "epoch": 1.7612058706862355,
807
+ "grad_norm": 0.855613648891449,
808
+ "learning_rate": 2.175401261979569e-05,
809
+ "loss": 0.2926,
810
+ "step": 1110
811
+ },
812
+ {
813
+ "epoch": 1.7770725902419675,
814
+ "grad_norm": 0.8496893048286438,
815
+ "learning_rate": 2.1296773441218787e-05,
816
+ "loss": 0.2404,
817
+ "step": 1120
818
+ },
819
+ {
820
+ "epoch": 1.7929393097976993,
821
+ "grad_norm": 0.7642855644226074,
822
+ "learning_rate": 2.084079742465142e-05,
823
+ "loss": 0.2471,
824
+ "step": 1130
825
+ },
826
+ {
827
+ "epoch": 1.8088060293534312,
828
+ "grad_norm": 0.8110942244529724,
829
+ "learning_rate": 2.0386240102457682e-05,
830
+ "loss": 0.236,
831
+ "step": 1140
832
+ },
833
+ {
834
+ "epoch": 1.824672748909163,
835
+ "grad_norm": 0.9976955056190491,
836
+ "learning_rate": 1.993325652308828e-05,
837
+ "loss": 0.2609,
838
+ "step": 1150
839
+ },
840
+ {
841
+ "epoch": 1.840539468464895,
842
+ "grad_norm": 0.8436864614486694,
843
+ "learning_rate": 1.9482001198193882e-05,
844
+ "loss": 0.2771,
845
+ "step": 1160
846
+ },
847
+ {
848
+ "epoch": 1.8564061880206268,
849
+ "grad_norm": 0.8823544979095459,
850
+ "learning_rate": 1.903262804992156e-05,
851
+ "loss": 0.2399,
852
+ "step": 1170
853
+ },
854
+ {
855
+ "epoch": 1.8722729075763587,
856
+ "grad_norm": 0.6062878370285034,
857
+ "learning_rate": 1.8585290358412297e-05,
858
+ "loss": 0.2344,
859
+ "step": 1180
860
+ },
861
+ {
862
+ "epoch": 1.8881396271320905,
863
+ "grad_norm": 0.7493007183074951,
864
+ "learning_rate": 1.8140140709517465e-05,
865
+ "loss": 0.2311,
866
+ "step": 1190
867
+ },
868
+ {
869
+ "epoch": 1.9040063466878223,
870
+ "grad_norm": 0.8461095094680786,
871
+ "learning_rate": 1.7697330942752193e-05,
872
+ "loss": 0.2414,
873
+ "step": 1200
874
+ },
875
+ {
876
+ "epoch": 1.9040063466878223,
877
+ "eval_loss": 0.3031667470932007,
878
+ "eval_runtime": 93.4886,
879
+ "eval_samples_per_second": 6.001,
880
+ "eval_steps_per_second": 6.001,
881
+ "step": 1200
882
+ }
883
+ ],
884
+ "logging_steps": 10,
885
+ "max_steps": 1890,
886
+ "num_input_tokens_seen": 0,
887
+ "num_train_epochs": 3,
888
+ "save_steps": 300,
889
+ "stateful_callbacks": {
890
+ "TrainerControl": {
891
+ "args": {
892
+ "should_epoch_stop": false,
893
+ "should_evaluate": false,
894
+ "should_log": false,
895
+ "should_save": true,
896
+ "should_training_stop": false
897
+ },
898
+ "attributes": {}
899
+ }
900
+ },
901
+ "total_flos": 2.7498295064425267e+17,
902
+ "train_batch_size": 1,
903
+ "trial_name": null,
904
+ "trial_params": null
905
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd5154eea5e4a7fe8def6808a62e771d780ab20288c3ff5847d2dabf998a155
3
+ size 5496
vocab.json ADDED
The diff for this file is too large to render. See raw diff