eric-tramel commited on
Commit
a2e373c
·
verified ·
1 Parent(s): 5dfaf59

Training in progress, step 50, checkpoint

Browse files
checkpoint-50/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-50/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-0.5B-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": 896,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 4864,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 21,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 14,
17
+ "num_hidden_layers": 24,
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": "float32",
25
+ "transformers_version": "4.48.2",
26
+ "use_cache": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 151936
29
+ }
checkpoint-50/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": "4.48.2"
14
+ }
checkpoint-50/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-50/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ef575d88c25093b9c6abe7e67cdcd4e3e2c53dde898952a1c34c12451c46c30
3
+ size 1976163472
checkpoint-50/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72e993476520c38b3985858941de1eaf872d9d90497c5408192803385085d33d
3
+ size 3952505274
checkpoint-50/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:308d7c4d2c9cc27d313ee6bcb18fa125b2ff6ef04f22c5166780cc379781ff2e
3
+ size 15024
checkpoint-50/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a85a6572356a0209f45408a99a5497ff63ed4d8c9f9192c95a69b8bbd4a9303
3
+ size 15024
checkpoint-50/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2a6265ab766fb5999db722acc7616e2d1f610ff6de7c4039f05dda967c41d9a
3
+ size 15024
checkpoint-50/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e473d45ed71367a91be15cd5274000a1c60df96ff9f3c21f352278725ac8e980
3
+ size 15024
checkpoint-50/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a43513717b8c8325e4e53f3c32e1bc927629699ba294af0630ea787af80b695a
3
+ size 1064
checkpoint-50/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-50/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:477179b4bef2f24c88d560fa2dbfd0b5ecef0d9789ddd96759ddbdfc53eb7c29
3
+ size 11422164
checkpoint-50/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|endoftext|>",
205
+ "padding_side": "left",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
checkpoint-50/trainer_state.json ADDED
@@ -0,0 +1,683 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.06666666666666667,
5
+ "eval_steps": 500,
6
+ "global_step": 50,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "completion_length": 139.8125,
13
+ "epoch": 0.0013333333333333333,
14
+ "grad_norm": 0.0,
15
+ "kl": 0.0,
16
+ "learning_rate": 4.998766400914329e-07,
17
+ "loss": 0.0,
18
+ "reward": 0.0,
19
+ "reward_std": 0.0,
20
+ "rewards/equation_reward_func": 0.0,
21
+ "rewards/format_reward_func": 0.0,
22
+ "step": 1
23
+ },
24
+ {
25
+ "completion_length": 99.75,
26
+ "epoch": 0.0026666666666666666,
27
+ "grad_norm": 0.0,
28
+ "kl": 0.0,
29
+ "learning_rate": 4.995066821070679e-07,
30
+ "loss": 0.0,
31
+ "reward": 0.0,
32
+ "reward_std": 0.0,
33
+ "rewards/equation_reward_func": 0.0,
34
+ "rewards/format_reward_func": 0.0,
35
+ "step": 2
36
+ },
37
+ {
38
+ "completion_length": 130.625,
39
+ "epoch": 0.004,
40
+ "grad_norm": 10.103676795959473,
41
+ "kl": 0.0,
42
+ "learning_rate": 4.9889049115077e-07,
43
+ "loss": 0.0,
44
+ "reward": 0.0625,
45
+ "reward_std": 0.125,
46
+ "rewards/equation_reward_func": 0.0,
47
+ "rewards/format_reward_func": 0.0625,
48
+ "step": 3
49
+ },
50
+ {
51
+ "completion_length": 63.125,
52
+ "epoch": 0.005333333333333333,
53
+ "grad_norm": 0.0013354145921766758,
54
+ "kl": 0.000917173339985311,
55
+ "learning_rate": 4.980286753286194e-07,
56
+ "loss": 0.0,
57
+ "reward": 0.0,
58
+ "reward_std": 0.0,
59
+ "rewards/equation_reward_func": 0.0,
60
+ "rewards/format_reward_func": 0.0,
61
+ "step": 4
62
+ },
63
+ {
64
+ "completion_length": 114.4375,
65
+ "epoch": 0.006666666666666667,
66
+ "grad_norm": 3.7322745323181152,
67
+ "kl": 0.0011778868502005935,
68
+ "learning_rate": 4.969220851487844e-07,
69
+ "loss": 0.0,
70
+ "reward": 0.0625,
71
+ "reward_std": 0.125,
72
+ "rewards/equation_reward_func": 0.0625,
73
+ "rewards/format_reward_func": 0.0,
74
+ "step": 5
75
+ },
76
+ {
77
+ "completion_length": 114.5,
78
+ "epoch": 0.008,
79
+ "grad_norm": 0.000816968793515116,
80
+ "kl": 0.0007689747726544738,
81
+ "learning_rate": 4.955718126821722e-07,
82
+ "loss": 0.0,
83
+ "reward": 0.0,
84
+ "reward_std": 0.0,
85
+ "rewards/equation_reward_func": 0.0,
86
+ "rewards/format_reward_func": 0.0,
87
+ "step": 6
88
+ },
89
+ {
90
+ "completion_length": 117.8125,
91
+ "epoch": 0.009333333333333334,
92
+ "grad_norm": 6.311767101287842,
93
+ "kl": 0.0008143486920744181,
94
+ "learning_rate": 4.939791904846868e-07,
95
+ "loss": 0.0,
96
+ "reward": 0.0625,
97
+ "reward_std": 0.125,
98
+ "rewards/equation_reward_func": 0.0625,
99
+ "rewards/format_reward_func": 0.0,
100
+ "step": 7
101
+ },
102
+ {
103
+ "completion_length": 122.4375,
104
+ "epoch": 0.010666666666666666,
105
+ "grad_norm": 7.456131935119629,
106
+ "kl": 0.0008329250849783421,
107
+ "learning_rate": 4.921457902821578e-07,
108
+ "loss": 0.0,
109
+ "reward": 0.125,
110
+ "reward_std": 0.14433756470680237,
111
+ "rewards/equation_reward_func": 0.0625,
112
+ "rewards/format_reward_func": 0.0625,
113
+ "step": 8
114
+ },
115
+ {
116
+ "completion_length": 102.625,
117
+ "epoch": 0.012,
118
+ "grad_norm": 0.0012341401306912303,
119
+ "kl": 0.0009406378958374262,
120
+ "learning_rate": 4.900734214192358e-07,
121
+ "loss": 0.0,
122
+ "reward": 0.0,
123
+ "reward_std": 0.0,
124
+ "rewards/equation_reward_func": 0.0,
125
+ "rewards/format_reward_func": 0.0,
126
+ "step": 9
127
+ },
128
+ {
129
+ "completion_length": 87.0625,
130
+ "epoch": 0.013333333333333334,
131
+ "grad_norm": 7.165847301483154,
132
+ "kl": 0.0011477736989036202,
133
+ "learning_rate": 4.877641290737883e-07,
134
+ "loss": 0.0,
135
+ "reward": 0.125,
136
+ "reward_std": 0.25,
137
+ "rewards/equation_reward_func": 0.125,
138
+ "rewards/format_reward_func": 0.0,
139
+ "step": 10
140
+ },
141
+ {
142
+ "completion_length": 69.4375,
143
+ "epoch": 0.014666666666666666,
144
+ "grad_norm": 9.744544982910156,
145
+ "kl": 0.001994970254600048,
146
+ "learning_rate": 4.852201922385564e-07,
147
+ "loss": 0.0,
148
+ "reward": 0.0625,
149
+ "reward_std": 0.125,
150
+ "rewards/equation_reward_func": 0.0,
151
+ "rewards/format_reward_func": 0.0625,
152
+ "step": 11
153
+ },
154
+ {
155
+ "completion_length": 78.625,
156
+ "epoch": 0.016,
157
+ "grad_norm": 5.940145969390869,
158
+ "kl": 0.002475572982802987,
159
+ "learning_rate": 4.824441214720628e-07,
160
+ "loss": 0.0,
161
+ "reward": 0.0625,
162
+ "reward_std": 0.125,
163
+ "rewards/equation_reward_func": 0.0,
164
+ "rewards/format_reward_func": 0.0625,
165
+ "step": 12
166
+ },
167
+ {
168
+ "completion_length": 77.0625,
169
+ "epoch": 0.017333333333333333,
170
+ "grad_norm": 9.249768257141113,
171
+ "kl": 0.00296708382666111,
172
+ "learning_rate": 4.794386564209952e-07,
173
+ "loss": 0.0,
174
+ "reward": 0.0625,
175
+ "reward_std": 0.125,
176
+ "rewards/equation_reward_func": 0.0625,
177
+ "rewards/format_reward_func": 0.0,
178
+ "step": 13
179
+ },
180
+ {
181
+ "completion_length": 88.3125,
182
+ "epoch": 0.018666666666666668,
183
+ "grad_norm": 0.004721676465123892,
184
+ "kl": 0.0022520977072417736,
185
+ "learning_rate": 4.762067631165049e-07,
186
+ "loss": 0.0,
187
+ "reward": 0.0,
188
+ "reward_std": 0.0,
189
+ "rewards/equation_reward_func": 0.0,
190
+ "rewards/format_reward_func": 0.0,
191
+ "step": 14
192
+ },
193
+ {
194
+ "completion_length": 124.25,
195
+ "epoch": 0.02,
196
+ "grad_norm": 0.0038916626945137978,
197
+ "kl": 0.0022131651639938354,
198
+ "learning_rate": 4.7275163104709194e-07,
199
+ "loss": 0.0,
200
+ "reward": 0.0,
201
+ "reward_std": 0.0,
202
+ "rewards/equation_reward_func": 0.0,
203
+ "rewards/format_reward_func": 0.0,
204
+ "step": 15
205
+ },
206
+ {
207
+ "completion_length": 108.9375,
208
+ "epoch": 0.021333333333333333,
209
+ "grad_norm": 10.418540000915527,
210
+ "kl": 0.004006014205515385,
211
+ "learning_rate": 4.6907667001096585e-07,
212
+ "loss": 0.0,
213
+ "reward": 0.125,
214
+ "reward_std": 0.25,
215
+ "rewards/equation_reward_func": 0.0625,
216
+ "rewards/format_reward_func": 0.0625,
217
+ "step": 16
218
+ },
219
+ {
220
+ "completion_length": 115.625,
221
+ "epoch": 0.02266666666666667,
222
+ "grad_norm": 6.050858974456787,
223
+ "kl": 0.004326680675148964,
224
+ "learning_rate": 4.6518550675098587e-07,
225
+ "loss": 0.0,
226
+ "reward": 0.125,
227
+ "reward_std": 0.25,
228
+ "rewards/equation_reward_func": 0.0,
229
+ "rewards/format_reward_func": 0.125,
230
+ "step": 17
231
+ },
232
+ {
233
+ "completion_length": 68.8125,
234
+ "epoch": 0.024,
235
+ "grad_norm": 4.348077297210693,
236
+ "kl": 0.008564459159970284,
237
+ "learning_rate": 4.6108198137550377e-07,
238
+ "loss": 0.0,
239
+ "reward": 0.0625,
240
+ "reward_std": 0.125,
241
+ "rewards/equation_reward_func": 0.0,
242
+ "rewards/format_reward_func": 0.0625,
243
+ "step": 18
244
+ },
245
+ {
246
+ "completion_length": 52.0,
247
+ "epoch": 0.025333333333333333,
248
+ "grad_norm": 7.756259441375732,
249
+ "kl": 0.012305796146392822,
250
+ "learning_rate": 4.567701435686404e-07,
251
+ "loss": 0.0,
252
+ "reward": 0.0625,
253
+ "reward_std": 0.125,
254
+ "rewards/equation_reward_func": 0.0,
255
+ "rewards/format_reward_func": 0.0625,
256
+ "step": 19
257
+ },
258
+ {
259
+ "completion_length": 94.5625,
260
+ "epoch": 0.02666666666666667,
261
+ "grad_norm": 0.013369916006922722,
262
+ "kl": 0.011140521615743637,
263
+ "learning_rate": 4.5225424859373684e-07,
264
+ "loss": 0.0,
265
+ "reward": 0.0,
266
+ "reward_std": 0.0,
267
+ "rewards/equation_reward_func": 0.0,
268
+ "rewards/format_reward_func": 0.0,
269
+ "step": 20
270
+ },
271
+ {
272
+ "completion_length": 80.9375,
273
+ "epoch": 0.028,
274
+ "grad_norm": 0.011601699516177177,
275
+ "kl": 0.010067824274301529,
276
+ "learning_rate": 4.475387530939226e-07,
277
+ "loss": 0.0,
278
+ "reward": 0.0,
279
+ "reward_std": 0.0,
280
+ "rewards/equation_reward_func": 0.0,
281
+ "rewards/format_reward_func": 0.0,
282
+ "step": 21
283
+ },
284
+ {
285
+ "completion_length": 58.9375,
286
+ "epoch": 0.029333333333333333,
287
+ "grad_norm": 0.020853856578469276,
288
+ "kl": 0.014872935600578785,
289
+ "learning_rate": 4.426283106939473e-07,
290
+ "loss": 0.0,
291
+ "reward": 0.0,
292
+ "reward_std": 0.0,
293
+ "rewards/equation_reward_func": 0.0,
294
+ "rewards/format_reward_func": 0.0,
295
+ "step": 22
296
+ },
297
+ {
298
+ "completion_length": 87.25,
299
+ "epoch": 0.030666666666666665,
300
+ "grad_norm": 8.2451753616333,
301
+ "kl": 0.0072629996575415134,
302
+ "learning_rate": 4.375277674076149e-07,
303
+ "loss": 0.0,
304
+ "reward": 0.125,
305
+ "reward_std": 0.25,
306
+ "rewards/equation_reward_func": 0.125,
307
+ "rewards/format_reward_func": 0.0,
308
+ "step": 23
309
+ },
310
+ {
311
+ "completion_length": 66.4375,
312
+ "epoch": 0.032,
313
+ "grad_norm": 12.476899147033691,
314
+ "kl": 0.016585208475589752,
315
+ "learning_rate": 4.3224215685535287e-07,
316
+ "loss": 0.0,
317
+ "reward": 0.1875,
318
+ "reward_std": 0.375,
319
+ "rewards/equation_reward_func": 0.125,
320
+ "rewards/format_reward_func": 0.0625,
321
+ "step": 24
322
+ },
323
+ {
324
+ "completion_length": 76.625,
325
+ "epoch": 0.03333333333333333,
326
+ "grad_norm": 9.937981605529785,
327
+ "kl": 0.021889813244342804,
328
+ "learning_rate": 4.2677669529663686e-07,
329
+ "loss": 0.0,
330
+ "reward": 0.1875,
331
+ "reward_std": 0.26933756470680237,
332
+ "rewards/equation_reward_func": 0.0625,
333
+ "rewards/format_reward_func": 0.125,
334
+ "step": 25
335
+ },
336
+ {
337
+ "completion_length": 102.5,
338
+ "epoch": 0.034666666666666665,
339
+ "grad_norm": 13.229327201843262,
340
+ "kl": 0.02445467934012413,
341
+ "learning_rate": 4.2113677648217216e-07,
342
+ "loss": 0.0,
343
+ "reward": 0.25,
344
+ "reward_std": 0.39433756470680237,
345
+ "rewards/equation_reward_func": 0.125,
346
+ "rewards/format_reward_func": 0.125,
347
+ "step": 26
348
+ },
349
+ {
350
+ "completion_length": 101.5625,
351
+ "epoch": 0.036,
352
+ "grad_norm": 5.182061672210693,
353
+ "kl": 0.01874729059636593,
354
+ "learning_rate": 4.1532796633091294e-07,
355
+ "loss": 0.0,
356
+ "reward": 0.0625,
357
+ "reward_std": 0.125,
358
+ "rewards/equation_reward_func": 0.0,
359
+ "rewards/format_reward_func": 0.0625,
360
+ "step": 27
361
+ },
362
+ {
363
+ "completion_length": 99.8125,
364
+ "epoch": 0.037333333333333336,
365
+ "grad_norm": 4.86380672454834,
366
+ "kl": 0.011712409555912018,
367
+ "learning_rate": 4.0935599743717244e-07,
368
+ "loss": 0.0,
369
+ "reward": 0.1875,
370
+ "reward_std": 0.125,
371
+ "rewards/equation_reward_func": 0.125,
372
+ "rewards/format_reward_func": 0.0625,
373
+ "step": 28
374
+ },
375
+ {
376
+ "completion_length": 99.0625,
377
+ "epoch": 0.03866666666666667,
378
+ "grad_norm": 0.005987477023154497,
379
+ "kl": 0.00666175177320838,
380
+ "learning_rate": 4.0322676341324414e-07,
381
+ "loss": 0.0,
382
+ "reward": 0.0,
383
+ "reward_std": 0.0,
384
+ "rewards/equation_reward_func": 0.0,
385
+ "rewards/format_reward_func": 0.0,
386
+ "step": 29
387
+ },
388
+ {
389
+ "completion_length": 86.0,
390
+ "epoch": 0.04,
391
+ "grad_norm": 6.6918864250183105,
392
+ "kl": 0.02210947498679161,
393
+ "learning_rate": 3.9694631307311825e-07,
394
+ "loss": 0.0,
395
+ "reward": 0.125,
396
+ "reward_std": 0.14433756470680237,
397
+ "rewards/equation_reward_func": 0.0,
398
+ "rewards/format_reward_func": 0.125,
399
+ "step": 30
400
+ },
401
+ {
402
+ "completion_length": 53.1875,
403
+ "epoch": 0.04133333333333333,
404
+ "grad_norm": 7.236589431762695,
405
+ "kl": 0.03732139617204666,
406
+ "learning_rate": 3.9052084446303265e-07,
407
+ "loss": 0.0,
408
+ "reward": 0.125,
409
+ "reward_std": 0.14433756470680237,
410
+ "rewards/equation_reward_func": 0.0,
411
+ "rewards/format_reward_func": 0.125,
412
+ "step": 31
413
+ },
414
+ {
415
+ "completion_length": 91.6875,
416
+ "epoch": 0.042666666666666665,
417
+ "grad_norm": 9.589932441711426,
418
+ "kl": 0.021285340189933777,
419
+ "learning_rate": 3.839566987447491e-07,
420
+ "loss": 0.0,
421
+ "reward": 0.25,
422
+ "reward_std": 0.25,
423
+ "rewards/equation_reward_func": 0.0,
424
+ "rewards/format_reward_func": 0.25,
425
+ "step": 32
426
+ },
427
+ {
428
+ "completion_length": 109.1875,
429
+ "epoch": 0.044,
430
+ "grad_norm": 5.473565578460693,
431
+ "kl": 0.019205989316105843,
432
+ "learning_rate": 3.7726035393759283e-07,
433
+ "loss": 0.0,
434
+ "reward": 0.0625,
435
+ "reward_std": 0.125,
436
+ "rewards/equation_reward_func": 0.0,
437
+ "rewards/format_reward_func": 0.0625,
438
+ "step": 33
439
+ },
440
+ {
441
+ "completion_length": 93.4375,
442
+ "epoch": 0.04533333333333334,
443
+ "grad_norm": 8.452975273132324,
444
+ "kl": 0.021465059369802475,
445
+ "learning_rate": 3.704384185254288e-07,
446
+ "loss": 0.0,
447
+ "reward": 0.1875,
448
+ "reward_std": 0.375,
449
+ "rewards/equation_reward_func": 0.125,
450
+ "rewards/format_reward_func": 0.0625,
451
+ "step": 34
452
+ },
453
+ {
454
+ "completion_length": 92.625,
455
+ "epoch": 0.04666666666666667,
456
+ "grad_norm": 7.347535133361816,
457
+ "kl": 0.026419799774885178,
458
+ "learning_rate": 3.634976249348867e-07,
459
+ "loss": 0.0,
460
+ "reward": 0.25,
461
+ "reward_std": 0.25,
462
+ "rewards/equation_reward_func": 0.0,
463
+ "rewards/format_reward_func": 0.25,
464
+ "step": 35
465
+ },
466
+ {
467
+ "completion_length": 78.5,
468
+ "epoch": 0.048,
469
+ "grad_norm": 8.727449417114258,
470
+ "kl": 0.02185109257698059,
471
+ "learning_rate": 3.5644482289126813e-07,
472
+ "loss": 0.0,
473
+ "reward": 0.125,
474
+ "reward_std": 0.25,
475
+ "rewards/equation_reward_func": 0.0,
476
+ "rewards/format_reward_func": 0.125,
477
+ "step": 36
478
+ },
479
+ {
480
+ "completion_length": 57.3125,
481
+ "epoch": 0.04933333333333333,
482
+ "grad_norm": 15.177477836608887,
483
+ "kl": 0.04622100666165352,
484
+ "learning_rate": 3.492869726586951e-07,
485
+ "loss": 0.0,
486
+ "reward": 0.3125,
487
+ "reward_std": 0.41367512941360474,
488
+ "rewards/equation_reward_func": 0.0,
489
+ "rewards/format_reward_func": 0.3125,
490
+ "step": 37
491
+ },
492
+ {
493
+ "completion_length": 92.375,
494
+ "epoch": 0.050666666666666665,
495
+ "grad_norm": 10.578437805175781,
496
+ "kl": 0.044082142412662506,
497
+ "learning_rate": 3.4203113817116953e-07,
498
+ "loss": 0.0,
499
+ "reward": 0.3125,
500
+ "reward_std": 0.41367512941360474,
501
+ "rewards/equation_reward_func": 0.125,
502
+ "rewards/format_reward_func": 0.1875,
503
+ "step": 38
504
+ },
505
+ {
506
+ "completion_length": 87.4375,
507
+ "epoch": 0.052,
508
+ "grad_norm": 10.343932151794434,
509
+ "kl": 0.03231078386306763,
510
+ "learning_rate": 3.346844800613229e-07,
511
+ "loss": 0.0,
512
+ "reward": 0.3125,
513
+ "reward_std": 0.375,
514
+ "rewards/equation_reward_func": 0.0625,
515
+ "rewards/format_reward_func": 0.25,
516
+ "step": 39
517
+ },
518
+ {
519
+ "completion_length": 48.5,
520
+ "epoch": 0.05333333333333334,
521
+ "grad_norm": 19.632137298583984,
522
+ "kl": 0.07163362205028534,
523
+ "learning_rate": 3.272542485937368e-07,
524
+ "loss": 0.0001,
525
+ "reward": 0.375,
526
+ "reward_std": 0.4330126941204071,
527
+ "rewards/equation_reward_func": 0.125,
528
+ "rewards/format_reward_func": 0.25,
529
+ "step": 40
530
+ },
531
+ {
532
+ "completion_length": 85.75,
533
+ "epoch": 0.05466666666666667,
534
+ "grad_norm": 10.696102142333984,
535
+ "kl": 0.034582264721393585,
536
+ "learning_rate": 3.1974777650980734e-07,
537
+ "loss": 0.0,
538
+ "reward": 0.3125,
539
+ "reward_std": 0.41367512941360474,
540
+ "rewards/equation_reward_func": 0.0,
541
+ "rewards/format_reward_func": 0.3125,
542
+ "step": 41
543
+ },
544
+ {
545
+ "completion_length": 108.9375,
546
+ "epoch": 0.056,
547
+ "grad_norm": 10.879018783569336,
548
+ "kl": 0.03657364100217819,
549
+ "learning_rate": 3.121724717912138e-07,
550
+ "loss": 0.0,
551
+ "reward": 0.375,
552
+ "reward_std": 0.4330126941204071,
553
+ "rewards/equation_reward_func": 0.0625,
554
+ "rewards/format_reward_func": 0.3125,
555
+ "step": 42
556
+ },
557
+ {
558
+ "completion_length": 75.625,
559
+ "epoch": 0.05733333333333333,
560
+ "grad_norm": 16.502370834350586,
561
+ "kl": 0.07044769823551178,
562
+ "learning_rate": 3.0453581034913565e-07,
563
+ "loss": 0.0001,
564
+ "reward": 0.6875,
565
+ "reward_std": 0.5791241526603699,
566
+ "rewards/equation_reward_func": 0.0625,
567
+ "rewards/format_reward_func": 0.625,
568
+ "step": 43
569
+ },
570
+ {
571
+ "completion_length": 69.9375,
572
+ "epoch": 0.058666666666666666,
573
+ "grad_norm": 9.02477741241455,
574
+ "kl": 0.030126627534627914,
575
+ "learning_rate": 2.968453286464312e-07,
576
+ "loss": 0.0,
577
+ "reward": 0.3125,
578
+ "reward_std": 0.41367512941360474,
579
+ "rewards/equation_reward_func": 0.0625,
580
+ "rewards/format_reward_func": 0.25,
581
+ "step": 44
582
+ },
583
+ {
584
+ "completion_length": 71.0,
585
+ "epoch": 0.06,
586
+ "grad_norm": 10.272525787353516,
587
+ "kl": 0.038944195955991745,
588
+ "learning_rate": 2.8910861626005773e-07,
589
+ "loss": 0.0,
590
+ "reward": 0.4375,
591
+ "reward_std": 0.51933753490448,
592
+ "rewards/equation_reward_func": 0.125,
593
+ "rewards/format_reward_func": 0.3125,
594
+ "step": 45
595
+ },
596
+ {
597
+ "completion_length": 90.125,
598
+ "epoch": 0.06133333333333333,
599
+ "grad_norm": 12.634044647216797,
600
+ "kl": 0.06799886375665665,
601
+ "learning_rate": 2.8133330839107604e-07,
602
+ "loss": 0.0001,
603
+ "reward": 0.5,
604
+ "reward_std": 0.5386751294136047,
605
+ "rewards/equation_reward_func": 0.0,
606
+ "rewards/format_reward_func": 0.5,
607
+ "step": 46
608
+ },
609
+ {
610
+ "completion_length": 74.75,
611
+ "epoch": 0.06266666666666666,
612
+ "grad_norm": 13.044803619384766,
613
+ "kl": 0.04725334420800209,
614
+ "learning_rate": 2.735270783296286e-07,
615
+ "loss": 0.0,
616
+ "reward": 0.625,
617
+ "reward_std": 0.7673887014389038,
618
+ "rewards/equation_reward_func": 0.125,
619
+ "rewards/format_reward_func": 0.5,
620
+ "step": 47
621
+ },
622
+ {
623
+ "completion_length": 68.125,
624
+ "epoch": 0.064,
625
+ "grad_norm": 12.499868392944336,
626
+ "kl": 0.06327543407678604,
627
+ "learning_rate": 2.6569762988232837e-07,
628
+ "loss": 0.0001,
629
+ "reward": 0.5625,
630
+ "reward_std": 0.5580127239227295,
631
+ "rewards/equation_reward_func": 0.0,
632
+ "rewards/format_reward_func": 0.5625,
633
+ "step": 48
634
+ },
635
+ {
636
+ "completion_length": 63.1875,
637
+ "epoch": 0.06533333333333333,
638
+ "grad_norm": 13.13230037689209,
639
+ "kl": 0.11753000319004059,
640
+ "learning_rate": 2.5785268976953204e-07,
641
+ "loss": 0.0001,
642
+ "reward": 0.4375,
643
+ "reward_std": 0.51933753490448,
644
+ "rewards/equation_reward_func": 0.0,
645
+ "rewards/format_reward_func": 0.4375,
646
+ "step": 49
647
+ },
648
+ {
649
+ "completion_length": 101.9375,
650
+ "epoch": 0.06666666666666667,
651
+ "grad_norm": 13.340404510498047,
652
+ "kl": 0.07909737527370453,
653
+ "learning_rate": 2.5e-07,
654
+ "loss": 0.0001,
655
+ "reward": 0.375,
656
+ "reward_std": 0.39433756470680237,
657
+ "rewards/equation_reward_func": 0.0,
658
+ "rewards/format_reward_func": 0.375,
659
+ "step": 50
660
+ }
661
+ ],
662
+ "logging_steps": 1,
663
+ "max_steps": 100,
664
+ "num_input_tokens_seen": 0,
665
+ "num_train_epochs": 1,
666
+ "save_steps": 50,
667
+ "stateful_callbacks": {
668
+ "TrainerControl": {
669
+ "args": {
670
+ "should_epoch_stop": false,
671
+ "should_evaluate": false,
672
+ "should_log": false,
673
+ "should_save": true,
674
+ "should_training_stop": false
675
+ },
676
+ "attributes": {}
677
+ }
678
+ },
679
+ "total_flos": 0.0,
680
+ "train_batch_size": 1,
681
+ "trial_name": null,
682
+ "trial_params": null
683
+ }
checkpoint-50/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44028d40b3841ea820da6e7b4c46c26072bff1fc53ba336bed63b0030abe9bdd
3
+ size 5560
checkpoint-50/vocab.json ADDED
The diff for this file is too large to render. See raw diff