amrn commited on
Commit
78d4a52
·
verified ·
1 Parent(s): 88d590f

Model save

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 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-1.5B-Instruct
3
+ library_name: transformers
4
+ model_name: Qwen2.5-1.5B-Open-R1-Distill
5
+ tags:
6
+ - generated_from_trainer
7
+ - trl
8
+ - sft
9
+ licence: license
10
+ ---
11
+
12
+ # Model Card for Qwen2.5-1.5B-Open-R1-Distill
13
+
14
+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
15
+ It has been trained using [TRL](https://github.com/huggingface/trl).
16
+
17
+ ## Quick start
18
+
19
+ ```python
20
+ from transformers import pipeline
21
+
22
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
23
+ generator = pipeline("text-generation", model="amrn/Qwen2.5-1.5B-Open-R1-Distill", device="cuda")
24
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
25
+ print(output["generated_text"])
26
+ ```
27
+
28
+ ## Training procedure
29
+
30
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/myronorg/huggingface/runs/r98aklh1)
31
+
32
+
33
+ This model was trained with SFT.
34
+
35
+ ### Framework versions
36
+
37
+ - TRL: 0.15.0.dev0
38
+ - Transformers: 4.49.0.dev0
39
+ - Pytorch: 2.5.1+cu121
40
+ - Datasets: 3.2.0
41
+ - Tokenizers: 0.21.0
42
+
43
+ ## Citations
44
+
45
+
46
+
47
+ Cite TRL as:
48
+
49
+ ```bibtex
50
+ @misc{vonwerra2022trl,
51
+ title = {{TRL: Transformer Reinforcement Learning}},
52
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
53
+ year = 2020,
54
+ journal = {GitHub repository},
55
+ publisher = {GitHub},
56
+ howpublished = {\url{https://github.com/huggingface/trl}}
57
+ }
58
+ ```
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
+ }
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 76916824473600.0,
4
+ "train_loss": 0.8026671296746067,
5
+ "train_runtime": 1041.4464,
6
+ "train_samples": 16610,
7
+ "train_samples_per_second": 20.75,
8
+ "train_steps_per_second": 0.162
9
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 21,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 2,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": true,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.49.0.dev0",
26
+ "use_cache": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 151936
29
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.49.0.dev0"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd46c4f7659b2fe3bbf379e42dd83f61c77b26195e748cd3db4e58c8cc8e89cb
3
+ size 3087467144
special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|im_end|>"
25
+ }
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
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|im_end|>",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 76916824473600.0,
4
+ "train_loss": 0.8026671296746067,
5
+ "train_runtime": 1041.4464,
6
+ "train_samples": 16610,
7
+ "train_samples_per_second": 20.75,
8
+ "train_steps_per_second": 0.162
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 100,
6
+ "global_step": 169,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.029585798816568046,
13
+ "grad_norm": 2.342892423396605,
14
+ "learning_rate": 5.882352941176471e-06,
15
+ "loss": 1.0992,
16
+ "step": 5
17
+ },
18
+ {
19
+ "epoch": 0.05917159763313609,
20
+ "grad_norm": 1.6368371604135565,
21
+ "learning_rate": 1.1764705882352942e-05,
22
+ "loss": 1.0402,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.08875739644970414,
27
+ "grad_norm": 0.8989769231311087,
28
+ "learning_rate": 1.7647058823529414e-05,
29
+ "loss": 0.9533,
30
+ "step": 15
31
+ },
32
+ {
33
+ "epoch": 0.11834319526627218,
34
+ "grad_norm": 0.6137256595940042,
35
+ "learning_rate": 1.9980782984658682e-05,
36
+ "loss": 0.8922,
37
+ "step": 20
38
+ },
39
+ {
40
+ "epoch": 0.14792899408284024,
41
+ "grad_norm": 0.5492009965568149,
42
+ "learning_rate": 1.9863613034027224e-05,
43
+ "loss": 0.8551,
44
+ "step": 25
45
+ },
46
+ {
47
+ "epoch": 0.17751479289940827,
48
+ "grad_norm": 0.4349573184458919,
49
+ "learning_rate": 1.9641197940012136e-05,
50
+ "loss": 0.8283,
51
+ "step": 30
52
+ },
53
+ {
54
+ "epoch": 0.20710059171597633,
55
+ "grad_norm": 0.38659663740930433,
56
+ "learning_rate": 1.9315910880512792e-05,
57
+ "loss": 0.8229,
58
+ "step": 35
59
+ },
60
+ {
61
+ "epoch": 0.23668639053254437,
62
+ "grad_norm": 0.4119151414508529,
63
+ "learning_rate": 1.8891222681391853e-05,
64
+ "loss": 0.8225,
65
+ "step": 40
66
+ },
67
+ {
68
+ "epoch": 0.26627218934911245,
69
+ "grad_norm": 0.35458480206676984,
70
+ "learning_rate": 1.8371664782625287e-05,
71
+ "loss": 0.8073,
72
+ "step": 45
73
+ },
74
+ {
75
+ "epoch": 0.2958579881656805,
76
+ "grad_norm": 0.34430708054184417,
77
+ "learning_rate": 1.7762780887657576e-05,
78
+ "loss": 0.7977,
79
+ "step": 50
80
+ },
81
+ {
82
+ "epoch": 0.3254437869822485,
83
+ "grad_norm": 0.3838154059326915,
84
+ "learning_rate": 1.7071067811865477e-05,
85
+ "loss": 0.7877,
86
+ "step": 55
87
+ },
88
+ {
89
+ "epoch": 0.35502958579881655,
90
+ "grad_norm": 0.383532491946636,
91
+ "learning_rate": 1.6303906161279554e-05,
92
+ "loss": 0.7981,
93
+ "step": 60
94
+ },
95
+ {
96
+ "epoch": 0.38461538461538464,
97
+ "grad_norm": 0.35083975989542854,
98
+ "learning_rate": 1.5469481581224274e-05,
99
+ "loss": 0.7722,
100
+ "step": 65
101
+ },
102
+ {
103
+ "epoch": 0.41420118343195267,
104
+ "grad_norm": 0.35395203723670016,
105
+ "learning_rate": 1.4576697415156818e-05,
106
+ "loss": 0.7741,
107
+ "step": 70
108
+ },
109
+ {
110
+ "epoch": 0.4437869822485207,
111
+ "grad_norm": 0.34555629817939354,
112
+ "learning_rate": 1.3635079705638298e-05,
113
+ "loss": 0.7852,
114
+ "step": 75
115
+ },
116
+ {
117
+ "epoch": 0.47337278106508873,
118
+ "grad_norm": 0.35805756615265727,
119
+ "learning_rate": 1.2654675551080724e-05,
120
+ "loss": 0.7667,
121
+ "step": 80
122
+ },
123
+ {
124
+ "epoch": 0.5029585798816568,
125
+ "grad_norm": 0.3781865827387411,
126
+ "learning_rate": 1.164594590280734e-05,
127
+ "loss": 0.7706,
128
+ "step": 85
129
+ },
130
+ {
131
+ "epoch": 0.5325443786982249,
132
+ "grad_norm": 0.36455865865784565,
133
+ "learning_rate": 1.0619653946285948e-05,
134
+ "loss": 0.7701,
135
+ "step": 90
136
+ },
137
+ {
138
+ "epoch": 0.5621301775147929,
139
+ "grad_norm": 0.37271134883355717,
140
+ "learning_rate": 9.586750257511868e-06,
141
+ "loss": 0.7772,
142
+ "step": 95
143
+ },
144
+ {
145
+ "epoch": 0.591715976331361,
146
+ "grad_norm": 0.3429534883848641,
147
+ "learning_rate": 8.558255959926533e-06,
148
+ "loss": 0.753,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 0.591715976331361,
153
+ "eval_loss": 0.7881382703781128,
154
+ "eval_runtime": 1.6822,
155
+ "eval_samples_per_second": 76.093,
156
+ "eval_steps_per_second": 2.378,
157
+ "step": 100
158
+ },
159
+ {
160
+ "epoch": 0.621301775147929,
161
+ "grad_norm": 0.34272683406564375,
162
+ "learning_rate": 7.545145128592009e-06,
163
+ "loss": 0.757,
164
+ "step": 105
165
+ },
166
+ {
167
+ "epoch": 0.650887573964497,
168
+ "grad_norm": 0.35326011905545884,
169
+ "learning_rate": 6.558227696373617e-06,
170
+ "loss": 0.7682,
171
+ "step": 110
172
+ },
173
+ {
174
+ "epoch": 0.6804733727810651,
175
+ "grad_norm": 0.3175593796339319,
176
+ "learning_rate": 5.608034111526298e-06,
177
+ "loss": 0.7623,
178
+ "step": 115
179
+ },
180
+ {
181
+ "epoch": 0.7100591715976331,
182
+ "grad_norm": 0.30113559390386235,
183
+ "learning_rate": 4.704702977392914e-06,
184
+ "loss": 0.7514,
185
+ "step": 120
186
+ },
187
+ {
188
+ "epoch": 0.7396449704142012,
189
+ "grad_norm": 0.3514515497713594,
190
+ "learning_rate": 3.857872873103322e-06,
191
+ "loss": 0.7538,
192
+ "step": 125
193
+ },
194
+ {
195
+ "epoch": 0.7692307692307693,
196
+ "grad_norm": 0.32077249449415507,
197
+ "learning_rate": 3.0765795095517026e-06,
198
+ "loss": 0.7555,
199
+ "step": 130
200
+ },
201
+ {
202
+ "epoch": 0.7988165680473372,
203
+ "grad_norm": 0.32980480359237835,
204
+ "learning_rate": 2.369159318001937e-06,
205
+ "loss": 0.7585,
206
+ "step": 135
207
+ },
208
+ {
209
+ "epoch": 0.8284023668639053,
210
+ "grad_norm": 0.30552938976565036,
211
+ "learning_rate": 1.743160500034443e-06,
212
+ "loss": 0.7498,
213
+ "step": 140
214
+ },
215
+ {
216
+ "epoch": 0.8579881656804734,
217
+ "grad_norm": 0.3199948980261291,
218
+ "learning_rate": 1.2052624879351105e-06,
219
+ "loss": 0.7566,
220
+ "step": 145
221
+ },
222
+ {
223
+ "epoch": 0.8875739644970414,
224
+ "grad_norm": 0.3029762272084133,
225
+ "learning_rate": 7.612046748871327e-07,
226
+ "loss": 0.7666,
227
+ "step": 150
228
+ },
229
+ {
230
+ "epoch": 0.9171597633136095,
231
+ "grad_norm": 0.30367592763134704,
232
+ "learning_rate": 4.1572517541747294e-07,
233
+ "loss": 0.7613,
234
+ "step": 155
235
+ },
236
+ {
237
+ "epoch": 0.9467455621301775,
238
+ "grad_norm": 0.29238016566832153,
239
+ "learning_rate": 1.7251026952640583e-07,
240
+ "loss": 0.7607,
241
+ "step": 160
242
+ },
243
+ {
244
+ "epoch": 0.9763313609467456,
245
+ "grad_norm": 0.2814543563664885,
246
+ "learning_rate": 3.4155069933301535e-08,
247
+ "loss": 0.7446,
248
+ "step": 165
249
+ },
250
+ {
251
+ "epoch": 1.0,
252
+ "step": 169,
253
+ "total_flos": 76916824473600.0,
254
+ "train_loss": 0.8026671296746067,
255
+ "train_runtime": 1041.4464,
256
+ "train_samples_per_second": 20.75,
257
+ "train_steps_per_second": 0.162
258
+ }
259
+ ],
260
+ "logging_steps": 5,
261
+ "max_steps": 169,
262
+ "num_input_tokens_seen": 0,
263
+ "num_train_epochs": 1,
264
+ "save_steps": 500,
265
+ "stateful_callbacks": {
266
+ "TrainerControl": {
267
+ "args": {
268
+ "should_epoch_stop": false,
269
+ "should_evaluate": false,
270
+ "should_log": false,
271
+ "should_save": false,
272
+ "should_training_stop": false
273
+ },
274
+ "attributes": {}
275
+ }
276
+ },
277
+ "total_flos": 76916824473600.0,
278
+ "train_batch_size": 4,
279
+ "trial_name": null,
280
+ "trial_params": null
281
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0041f765e83070c411e294af2c5822a097d32d77ef14a249a448aa887d9f0a53
3
+ size 7352
vocab.json ADDED
The diff for this file is too large to render. See raw diff