mssongit commited on
Commit
2eeba4b
·
verified ·
1 Parent(s): 4f767f4

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 0.13.2
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": null,
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": 0.05,
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
+ "q_proj",
25
+ "o_proj",
26
+ "gate_proj",
27
+ "down_proj",
28
+ "v_proj",
29
+ "up_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 sha256:6b503ef6faf74264717ff8590e188464c00250a7dbe4132d4c77bcd4f904969a
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 sha256:9235d49cd02b9ed0cf3a86f123bd049f368a6cf8930e17baa84441e03b5ce613
3
+ size 275650130
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52cb8ede25112a44eacff6554058030d46511b9d1f259bb694ef8f2af245168c
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a0216c1328f25d2f143e055ea0a88b490f91df772e897e9a417c133bfda33c8
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 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "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
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
trainer_state.json ADDED
@@ -0,0 +1,521 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9986219568213137,
5
+ "eval_steps": 100,
6
+ "global_step": 3264,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0009186954524575103,
13
+ "eval_loss": 0.45365288853645325,
14
+ "eval_runtime": 91.7013,
15
+ "eval_samples_per_second": 1.254,
16
+ "eval_steps_per_second": 1.254,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.09186954524575103,
21
+ "grad_norm": 0.28536465764045715,
22
+ "learning_rate": 3.6809815950920246e-05,
23
+ "loss": 0.2258,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.09186954524575103,
28
+ "eval_loss": 0.15162889659404755,
29
+ "eval_runtime": 93.0623,
30
+ "eval_samples_per_second": 1.236,
31
+ "eval_steps_per_second": 1.236,
32
+ "step": 100
33
+ },
34
+ {
35
+ "epoch": 0.18373909049150206,
36
+ "grad_norm": 0.2759454846382141,
37
+ "learning_rate": 5.997892633518568e-05,
38
+ "loss": 0.0446,
39
+ "step": 200
40
+ },
41
+ {
42
+ "epoch": 0.18373909049150206,
43
+ "eval_loss": 0.11803138256072998,
44
+ "eval_runtime": 93.1015,
45
+ "eval_samples_per_second": 1.235,
46
+ "eval_steps_per_second": 1.235,
47
+ "step": 200
48
+ },
49
+ {
50
+ "epoch": 0.2756086357372531,
51
+ "grad_norm": 0.08795227855443954,
52
+ "learning_rate": 5.9711509629421385e-05,
53
+ "loss": 0.0306,
54
+ "step": 300
55
+ },
56
+ {
57
+ "epoch": 0.2756086357372531,
58
+ "eval_loss": 0.11304458230733871,
59
+ "eval_runtime": 92.9919,
60
+ "eval_samples_per_second": 1.237,
61
+ "eval_steps_per_second": 1.237,
62
+ "step": 300
63
+ },
64
+ {
65
+ "epoch": 0.3674781809830041,
66
+ "grad_norm": 0.4415115416049957,
67
+ "learning_rate": 5.913940906241118e-05,
68
+ "loss": 0.0323,
69
+ "step": 400
70
+ },
71
+ {
72
+ "epoch": 0.3674781809830041,
73
+ "eval_loss": 0.10952312499284744,
74
+ "eval_runtime": 93.0072,
75
+ "eval_samples_per_second": 1.236,
76
+ "eval_steps_per_second": 1.236,
77
+ "step": 400
78
+ },
79
+ {
80
+ "epoch": 0.4593477262287552,
81
+ "grad_norm": 0.4124976396560669,
82
+ "learning_rate": 5.8268491377782436e-05,
83
+ "loss": 0.0292,
84
+ "step": 500
85
+ },
86
+ {
87
+ "epoch": 0.4593477262287552,
88
+ "eval_loss": 0.11130835860967636,
89
+ "eval_runtime": 93.0093,
90
+ "eval_samples_per_second": 1.236,
91
+ "eval_steps_per_second": 1.236,
92
+ "step": 500
93
+ },
94
+ {
95
+ "epoch": 0.5512172714745062,
96
+ "grad_norm": 0.1237436980009079,
97
+ "learning_rate": 5.7107687611564266e-05,
98
+ "loss": 0.0307,
99
+ "step": 600
100
+ },
101
+ {
102
+ "epoch": 0.5512172714745062,
103
+ "eval_loss": 0.10875777900218964,
104
+ "eval_runtime": 93.0208,
105
+ "eval_samples_per_second": 1.236,
106
+ "eval_steps_per_second": 1.236,
107
+ "step": 600
108
+ },
109
+ {
110
+ "epoch": 0.6430868167202572,
111
+ "grad_norm": 0.11754359304904938,
112
+ "learning_rate": 5.5668901506718624e-05,
113
+ "loss": 0.0188,
114
+ "step": 700
115
+ },
116
+ {
117
+ "epoch": 0.6430868167202572,
118
+ "eval_loss": 0.10625847429037094,
119
+ "eval_runtime": 93.0782,
120
+ "eval_samples_per_second": 1.236,
121
+ "eval_steps_per_second": 1.236,
122
+ "step": 700
123
+ },
124
+ {
125
+ "epoch": 0.7349563619660082,
126
+ "grad_norm": 0.08325380831956863,
127
+ "learning_rate": 5.396688744332915e-05,
128
+ "loss": 0.0222,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 0.7349563619660082,
133
+ "eval_loss": 0.10221564024686813,
134
+ "eval_runtime": 92.9651,
135
+ "eval_samples_per_second": 1.237,
136
+ "eval_steps_per_second": 1.237,
137
+ "step": 800
138
+ },
139
+ {
140
+ "epoch": 0.8268259072117593,
141
+ "grad_norm": 0.06664737313985825,
142
+ "learning_rate": 5.201909913624226e-05,
143
+ "loss": 0.0232,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 0.8268259072117593,
148
+ "eval_loss": 0.10889119654893875,
149
+ "eval_runtime": 93.0863,
150
+ "eval_samples_per_second": 1.235,
151
+ "eval_steps_per_second": 1.235,
152
+ "step": 900
153
+ },
154
+ {
155
+ "epoch": 0.9186954524575104,
156
+ "grad_norm": 0.1651008129119873,
157
+ "learning_rate": 4.984551065172704e-05,
158
+ "loss": 0.0232,
159
+ "step": 1000
160
+ },
161
+ {
162
+ "epoch": 0.9186954524575104,
163
+ "eval_loss": 0.10011124610900879,
164
+ "eval_runtime": 92.6471,
165
+ "eval_samples_per_second": 1.241,
166
+ "eval_steps_per_second": 1.241,
167
+ "step": 1000
168
+ },
169
+ {
170
+ "epoch": 1.0105649977032614,
171
+ "grad_norm": 0.06963470578193665,
172
+ "learning_rate": 4.746841157858199e-05,
173
+ "loss": 0.0186,
174
+ "step": 1100
175
+ },
176
+ {
177
+ "epoch": 1.0105649977032614,
178
+ "eval_loss": 0.10491956770420074,
179
+ "eval_runtime": 92.7173,
180
+ "eval_samples_per_second": 1.24,
181
+ "eval_steps_per_second": 1.24,
182
+ "step": 1100
183
+ },
184
+ {
185
+ "epoch": 1.1024345429490123,
186
+ "grad_norm": 0.1768687665462494,
187
+ "learning_rate": 4.491217845415585e-05,
188
+ "loss": 0.0165,
189
+ "step": 1200
190
+ },
191
+ {
192
+ "epoch": 1.1024345429490123,
193
+ "eval_loss": 0.10712870955467224,
194
+ "eval_runtime": 92.6774,
195
+ "eval_samples_per_second": 1.241,
196
+ "eval_steps_per_second": 1.241,
197
+ "step": 1200
198
+ },
199
+ {
200
+ "epoch": 1.1943040881947635,
201
+ "grad_norm": 0.03774058446288109,
202
+ "learning_rate": 4.220302478924997e-05,
203
+ "loss": 0.0144,
204
+ "step": 1300
205
+ },
206
+ {
207
+ "epoch": 1.1943040881947635,
208
+ "eval_loss": 0.10197390615940094,
209
+ "eval_runtime": 92.6938,
210
+ "eval_samples_per_second": 1.241,
211
+ "eval_steps_per_second": 1.241,
212
+ "step": 1300
213
+ },
214
+ {
215
+ "epoch": 1.2861736334405145,
216
+ "grad_norm": 0.190536767244339,
217
+ "learning_rate": 3.936873225533197e-05,
218
+ "loss": 0.0165,
219
+ "step": 1400
220
+ },
221
+ {
222
+ "epoch": 1.2861736334405145,
223
+ "eval_loss": 0.10447957366704941,
224
+ "eval_runtime": 92.6748,
225
+ "eval_samples_per_second": 1.241,
226
+ "eval_steps_per_second": 1.241,
227
+ "step": 1400
228
+ },
229
+ {
230
+ "epoch": 1.3780431786862655,
231
+ "grad_norm": 0.12491453438997269,
232
+ "learning_rate": 3.6438365790666724e-05,
233
+ "loss": 0.0157,
234
+ "step": 1500
235
+ },
236
+ {
237
+ "epoch": 1.3780431786862655,
238
+ "eval_loss": 0.10409318655729294,
239
+ "eval_runtime": 92.6809,
240
+ "eval_samples_per_second": 1.241,
241
+ "eval_steps_per_second": 1.241,
242
+ "step": 1500
243
+ },
244
+ {
245
+ "epoch": 1.4699127239320164,
246
+ "grad_norm": 0.24747562408447266,
247
+ "learning_rate": 3.344197554687745e-05,
248
+ "loss": 0.0156,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 1.4699127239320164,
253
+ "eval_loss": 0.11097286641597748,
254
+ "eval_runtime": 92.7408,
255
+ "eval_samples_per_second": 1.24,
256
+ "eval_steps_per_second": 1.24,
257
+ "step": 1600
258
+ },
259
+ {
260
+ "epoch": 1.5617822691777676,
261
+ "grad_norm": 0.10677100718021393,
262
+ "learning_rate": 3.0410288732398347e-05,
263
+ "loss": 0.0142,
264
+ "step": 1700
265
+ },
266
+ {
267
+ "epoch": 1.5617822691777676,
268
+ "eval_loss": 0.10534139722585678,
269
+ "eval_runtime": 92.5904,
270
+ "eval_samples_per_second": 1.242,
271
+ "eval_steps_per_second": 1.242,
272
+ "step": 1700
273
+ },
274
+ {
275
+ "epoch": 1.6536518144235186,
276
+ "grad_norm": 0.025434676557779312,
277
+ "learning_rate": 2.7374394512884237e-05,
278
+ "loss": 0.0153,
279
+ "step": 1800
280
+ },
281
+ {
282
+ "epoch": 1.6536518144235186,
283
+ "eval_loss": 0.10420160740613937,
284
+ "eval_runtime": 92.6901,
285
+ "eval_samples_per_second": 1.241,
286
+ "eval_steps_per_second": 1.241,
287
+ "step": 1800
288
+ },
289
+ {
290
+ "epoch": 1.7455213596692696,
291
+ "grad_norm": 0.07759197056293488,
292
+ "learning_rate": 2.4365425199842408e-05,
293
+ "loss": 0.0149,
294
+ "step": 1900
295
+ },
296
+ {
297
+ "epoch": 1.7455213596692696,
298
+ "eval_loss": 0.10568808764219284,
299
+ "eval_runtime": 92.7012,
300
+ "eval_samples_per_second": 1.241,
301
+ "eval_steps_per_second": 1.241,
302
+ "step": 1900
303
+ },
304
+ {
305
+ "epoch": 1.8373909049150208,
306
+ "grad_norm": 0.049779146909713745,
307
+ "learning_rate": 2.1414236996814956e-05,
308
+ "loss": 0.0136,
309
+ "step": 2000
310
+ },
311
+ {
312
+ "epoch": 1.8373909049150208,
313
+ "eval_loss": 0.10744442045688629,
314
+ "eval_runtime": 92.6071,
315
+ "eval_samples_per_second": 1.242,
316
+ "eval_steps_per_second": 1.242,
317
+ "step": 2000
318
+ },
319
+ {
320
+ "epoch": 1.9292604501607717,
321
+ "grad_norm": 0.16362594068050385,
322
+ "learning_rate": 1.8551093576976936e-05,
323
+ "loss": 0.0128,
324
+ "step": 2100
325
+ },
326
+ {
327
+ "epoch": 1.9292604501607717,
328
+ "eval_loss": 0.1033589243888855,
329
+ "eval_runtime": 92.6218,
330
+ "eval_samples_per_second": 1.242,
331
+ "eval_steps_per_second": 1.242,
332
+ "step": 2100
333
+ },
334
+ {
335
+ "epoch": 2.0211299954065227,
336
+ "grad_norm": 0.08395898342132568,
337
+ "learning_rate": 1.5805355736980443e-05,
338
+ "loss": 0.0131,
339
+ "step": 2200
340
+ },
341
+ {
342
+ "epoch": 2.0211299954065227,
343
+ "eval_loss": 0.10516863316297531,
344
+ "eval_runtime": 92.6782,
345
+ "eval_samples_per_second": 1.241,
346
+ "eval_steps_per_second": 1.241,
347
+ "step": 2200
348
+ },
349
+ {
350
+ "epoch": 2.112999540652274,
351
+ "grad_norm": 0.17860834300518036,
352
+ "learning_rate": 1.320518030956451e-05,
353
+ "loss": 0.0079,
354
+ "step": 2300
355
+ },
356
+ {
357
+ "epoch": 2.112999540652274,
358
+ "eval_loss": 0.10896279662847519,
359
+ "eval_runtime": 92.5937,
360
+ "eval_samples_per_second": 1.242,
361
+ "eval_steps_per_second": 1.242,
362
+ "step": 2300
363
+ },
364
+ {
365
+ "epoch": 2.2048690858980247,
366
+ "grad_norm": 0.09517592191696167,
367
+ "learning_rate": 1.077723142250394e-05,
368
+ "loss": 0.0093,
369
+ "step": 2400
370
+ },
371
+ {
372
+ "epoch": 2.2048690858980247,
373
+ "eval_loss": 0.11196599900722504,
374
+ "eval_runtime": 92.7043,
375
+ "eval_samples_per_second": 1.241,
376
+ "eval_steps_per_second": 1.241,
377
+ "step": 2400
378
+ },
379
+ {
380
+ "epoch": 2.296738631143776,
381
+ "grad_norm": 0.3143569231033325,
382
+ "learning_rate": 8.546407064862392e-06,
383
+ "loss": 0.0091,
384
+ "step": 2500
385
+ },
386
+ {
387
+ "epoch": 2.296738631143776,
388
+ "eval_loss": 0.1142640933394432,
389
+ "eval_runtime": 92.6858,
390
+ "eval_samples_per_second": 1.241,
391
+ "eval_steps_per_second": 1.241,
392
+ "step": 2500
393
+ },
394
+ {
395
+ "epoch": 2.388608176389527,
396
+ "grad_norm": 0.06993573904037476,
397
+ "learning_rate": 6.535583764541832e-06,
398
+ "loss": 0.0104,
399
+ "step": 2600
400
+ },
401
+ {
402
+ "epoch": 2.388608176389527,
403
+ "eval_loss": 0.11303328722715378,
404
+ "eval_runtime": 92.6449,
405
+ "eval_samples_per_second": 1.241,
406
+ "eval_steps_per_second": 1.241,
407
+ "step": 2600
408
+ },
409
+ {
410
+ "epoch": 2.480477721635278,
411
+ "grad_norm": 0.057985495775938034,
412
+ "learning_rate": 4.765381995394528e-06,
413
+ "loss": 0.0064,
414
+ "step": 2700
415
+ },
416
+ {
417
+ "epoch": 2.480477721635278,
418
+ "eval_loss": 0.11439105868339539,
419
+ "eval_runtime": 92.6853,
420
+ "eval_samples_per_second": 1.241,
421
+ "eval_steps_per_second": 1.241,
422
+ "step": 2700
423
+ },
424
+ {
425
+ "epoch": 2.572347266881029,
426
+ "grad_norm": 0.2965603768825531,
427
+ "learning_rate": 3.253954719586846e-06,
428
+ "loss": 0.0098,
429
+ "step": 2800
430
+ },
431
+ {
432
+ "epoch": 2.572347266881029,
433
+ "eval_loss": 0.11455501616001129,
434
+ "eval_runtime": 92.6971,
435
+ "eval_samples_per_second": 1.241,
436
+ "eval_steps_per_second": 1.241,
437
+ "step": 2800
438
+ },
439
+ {
440
+ "epoch": 2.6642168121267797,
441
+ "grad_norm": 0.1485712081193924,
442
+ "learning_rate": 2.016801233658385e-06,
443
+ "loss": 0.0093,
444
+ "step": 2900
445
+ },
446
+ {
447
+ "epoch": 2.6642168121267797,
448
+ "eval_loss": 0.1141701489686966,
449
+ "eval_runtime": 92.8761,
450
+ "eval_samples_per_second": 1.238,
451
+ "eval_steps_per_second": 1.238,
452
+ "step": 2900
453
+ },
454
+ {
455
+ "epoch": 2.756086357372531,
456
+ "grad_norm": 0.1018487960100174,
457
+ "learning_rate": 1.0666082272370813e-06,
458
+ "loss": 0.0079,
459
+ "step": 3000
460
+ },
461
+ {
462
+ "epoch": 2.756086357372531,
463
+ "eval_loss": 0.11440093070268631,
464
+ "eval_runtime": 92.6137,
465
+ "eval_samples_per_second": 1.242,
466
+ "eval_steps_per_second": 1.242,
467
+ "step": 3000
468
+ },
469
+ {
470
+ "epoch": 2.847955902618282,
471
+ "grad_norm": 0.15277303755283356,
472
+ "learning_rate": 4.1311968431219205e-07,
473
+ "loss": 0.0085,
474
+ "step": 3100
475
+ },
476
+ {
477
+ "epoch": 2.847955902618282,
478
+ "eval_loss": 0.11437059193849564,
479
+ "eval_runtime": 92.6248,
480
+ "eval_samples_per_second": 1.242,
481
+ "eval_steps_per_second": 1.242,
482
+ "step": 3100
483
+ },
484
+ {
485
+ "epoch": 2.939825447864033,
486
+ "grad_norm": 0.8881728053092957,
487
+ "learning_rate": 6.303696119383862e-08,
488
+ "loss": 0.0092,
489
+ "step": 3200
490
+ },
491
+ {
492
+ "epoch": 2.939825447864033,
493
+ "eval_loss": 0.11437766253948212,
494
+ "eval_runtime": 92.635,
495
+ "eval_samples_per_second": 1.241,
496
+ "eval_steps_per_second": 1.241,
497
+ "step": 3200
498
+ }
499
+ ],
500
+ "logging_steps": 100,
501
+ "max_steps": 3264,
502
+ "num_input_tokens_seen": 0,
503
+ "num_train_epochs": 3,
504
+ "save_steps": 100,
505
+ "stateful_callbacks": {
506
+ "TrainerControl": {
507
+ "args": {
508
+ "should_epoch_stop": false,
509
+ "should_evaluate": false,
510
+ "should_log": false,
511
+ "should_save": true,
512
+ "should_training_stop": true
513
+ },
514
+ "attributes": {}
515
+ }
516
+ },
517
+ "total_flos": 2.2502005536215532e+18,
518
+ "train_batch_size": 1,
519
+ "trial_name": null,
520
+ "trial_params": null
521
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ed2415f531a4741a5240bcd7f8c0d6ad57d26df92ddac52da39e093c62e936b
3
+ size 6200
vocab.json ADDED
The diff for this file is too large to render. See raw diff