BraylonDash commited on
Commit
5de8f9d
1 Parent(s): ed6d4d9

Model save

Browse files
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ library_name: peft
4
+ tags:
5
+ - trl
6
+ - dpo
7
+ - generated_from_trainer
8
+ base_model: microsoft/phi-2
9
+ model-index:
10
+ - name: phi-2-gpo-test-longest-iter-3
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # phi-2-gpo-test-longest-iter-3
18
+
19
+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.0105
22
+ - Rewards/chosen: 0.0036
23
+ - Rewards/rejected: 0.0021
24
+ - Rewards/accuracies: 0.5235
25
+ - Rewards/margins: 0.0015
26
+ - Logps/rejected: -278.5249
27
+ - Logps/chosen: -306.1786
28
+ - Logits/rejected: 0.0859
29
+ - Logits/chosen: -0.0119
30
+
31
+ ## Model description
32
+
33
+ More information needed
34
+
35
+ ## Intended uses & limitations
36
+
37
+ More information needed
38
+
39
+ ## Training and evaluation data
40
+
41
+ More information needed
42
+
43
+ ## Training procedure
44
+
45
+ ### Training hyperparameters
46
+
47
+ The following hyperparameters were used during training:
48
+ - learning_rate: 5e-06
49
+ - train_batch_size: 4
50
+ - eval_batch_size: 4
51
+ - seed: 42
52
+ - distributed_type: multi-GPU
53
+ - gradient_accumulation_steps: 4
54
+ - total_train_batch_size: 16
55
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
56
+ - lr_scheduler_type: cosine
57
+ - lr_scheduler_warmup_ratio: 0.1
58
+ - num_epochs: 2
59
+
60
+ ### Training results
61
+
62
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
63
+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
64
+ | 0.0102 | 1.6 | 100 | 0.0108 | 0.0012 | 0.0014 | 0.4830 | -0.0002 | -278.6008 | -306.4147 | 0.0907 | -0.0070 |
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - PEFT 0.7.1
70
+ - Transformers 4.36.2
71
+ - Pytorch 2.2.1+cu121
72
+ - Datasets 2.14.6
73
+ - Tokenizers 0.15.2
adapter_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/phi-2",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 32,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "q_proj",
23
+ "v_proj",
24
+ "dense",
25
+ "k_proj"
26
+ ],
27
+ "task_type": "CAUSAL_LM"
28
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ff5c3458e56fb9104e29ac3107cf83d73c23ca4fa60e1c27994c29bcdfa39b0
3
+ size 41977616
added_tokens.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "\t\t": 50294,
3
+ "\t\t\t": 50293,
4
+ "\t\t\t\t": 50292,
5
+ "\t\t\t\t\t": 50291,
6
+ "\t\t\t\t\t\t": 50290,
7
+ "\t\t\t\t\t\t\t": 50289,
8
+ "\t\t\t\t\t\t\t\t": 50288,
9
+ "\t\t\t\t\t\t\t\t\t": 50287,
10
+ " ": 50286,
11
+ " ": 50285,
12
+ " ": 50284,
13
+ " ": 50283,
14
+ " ": 50282,
15
+ " ": 50281,
16
+ " ": 50280,
17
+ " ": 50279,
18
+ " ": 50278,
19
+ " ": 50277,
20
+ " ": 50276,
21
+ " ": 50275,
22
+ " ": 50274,
23
+ " ": 50273,
24
+ " ": 50272,
25
+ " ": 50271,
26
+ " ": 50270,
27
+ " ": 50269,
28
+ " ": 50268,
29
+ " ": 50267,
30
+ " ": 50266,
31
+ " ": 50265,
32
+ " ": 50264,
33
+ " ": 50263,
34
+ " ": 50262,
35
+ " ": 50261,
36
+ " ": 50260,
37
+ " ": 50259,
38
+ " ": 50258,
39
+ " ": 50257
40
+ }
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.98,
3
+ "eval_logits/chosen": -0.011894814670085907,
4
+ "eval_logits/rejected": 0.0859011858701706,
5
+ "eval_logps/chosen": -306.1785583496094,
6
+ "eval_logps/rejected": -278.52490234375,
7
+ "eval_loss": 0.010486273095011711,
8
+ "eval_rewards/accuracies": 0.5235000252723694,
9
+ "eval_rewards/chosen": 0.0035635926760733128,
10
+ "eval_rewards/margins": 0.0014503698330372572,
11
+ "eval_rewards/rejected": 0.002113222610205412,
12
+ "eval_runtime": 432.8755,
13
+ "eval_samples": 2000,
14
+ "eval_samples_per_second": 4.62,
15
+ "eval_steps_per_second": 1.155,
16
+ "train_loss": 0.010348274312432735,
17
+ "train_runtime": 1408.9952,
18
+ "train_samples": 61135,
19
+ "train_samples_per_second": 1.419,
20
+ "train_steps_per_second": 0.088
21
+ }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.98,
3
+ "eval_logits/chosen": -0.011894814670085907,
4
+ "eval_logits/rejected": 0.0859011858701706,
5
+ "eval_logps/chosen": -306.1785583496094,
6
+ "eval_logps/rejected": -278.52490234375,
7
+ "eval_loss": 0.010486273095011711,
8
+ "eval_rewards/accuracies": 0.5235000252723694,
9
+ "eval_rewards/chosen": 0.0035635926760733128,
10
+ "eval_rewards/margins": 0.0014503698330372572,
11
+ "eval_rewards/rejected": 0.002113222610205412,
12
+ "eval_runtime": 432.8755,
13
+ "eval_samples": 2000,
14
+ "eval_samples_per_second": 4.62,
15
+ "eval_steps_per_second": 1.155
16
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|endoftext|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<|endoftext|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "50256": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "50257": {
13
+ "content": " ",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": false
19
+ },
20
+ "50258": {
21
+ "content": " ",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": false
27
+ },
28
+ "50259": {
29
+ "content": " ",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": false
35
+ },
36
+ "50260": {
37
+ "content": " ",
38
+ "lstrip": false,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": false
43
+ },
44
+ "50261": {
45
+ "content": " ",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": false
51
+ },
52
+ "50262": {
53
+ "content": " ",
54
+ "lstrip": false,
55
+ "normalized": true,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": false
59
+ },
60
+ "50263": {
61
+ "content": " ",
62
+ "lstrip": false,
63
+ "normalized": true,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": false
67
+ },
68
+ "50264": {
69
+ "content": " ",
70
+ "lstrip": false,
71
+ "normalized": true,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": false
75
+ },
76
+ "50265": {
77
+ "content": " ",
78
+ "lstrip": false,
79
+ "normalized": true,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": false
83
+ },
84
+ "50266": {
85
+ "content": " ",
86
+ "lstrip": false,
87
+ "normalized": true,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": false
91
+ },
92
+ "50267": {
93
+ "content": " ",
94
+ "lstrip": false,
95
+ "normalized": true,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": false
99
+ },
100
+ "50268": {
101
+ "content": " ",
102
+ "lstrip": false,
103
+ "normalized": true,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": false
107
+ },
108
+ "50269": {
109
+ "content": " ",
110
+ "lstrip": false,
111
+ "normalized": true,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": false
115
+ },
116
+ "50270": {
117
+ "content": " ",
118
+ "lstrip": false,
119
+ "normalized": true,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "50271": {
125
+ "content": " ",
126
+ "lstrip": false,
127
+ "normalized": true,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "50272": {
133
+ "content": " ",
134
+ "lstrip": false,
135
+ "normalized": true,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "50273": {
141
+ "content": " ",
142
+ "lstrip": false,
143
+ "normalized": true,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "50274": {
149
+ "content": " ",
150
+ "lstrip": false,
151
+ "normalized": true,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "50275": {
157
+ "content": " ",
158
+ "lstrip": false,
159
+ "normalized": true,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "50276": {
165
+ "content": " ",
166
+ "lstrip": false,
167
+ "normalized": true,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "50277": {
173
+ "content": " ",
174
+ "lstrip": false,
175
+ "normalized": true,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ },
180
+ "50278": {
181
+ "content": " ",
182
+ "lstrip": false,
183
+ "normalized": true,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": false
187
+ },
188
+ "50279": {
189
+ "content": " ",
190
+ "lstrip": false,
191
+ "normalized": true,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": false
195
+ },
196
+ "50280": {
197
+ "content": " ",
198
+ "lstrip": false,
199
+ "normalized": true,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": false
203
+ },
204
+ "50281": {
205
+ "content": " ",
206
+ "lstrip": false,
207
+ "normalized": true,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": false
211
+ },
212
+ "50282": {
213
+ "content": " ",
214
+ "lstrip": false,
215
+ "normalized": true,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": false
219
+ },
220
+ "50283": {
221
+ "content": " ",
222
+ "lstrip": false,
223
+ "normalized": true,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": false
227
+ },
228
+ "50284": {
229
+ "content": " ",
230
+ "lstrip": false,
231
+ "normalized": true,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": false
235
+ },
236
+ "50285": {
237
+ "content": " ",
238
+ "lstrip": false,
239
+ "normalized": true,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": false
243
+ },
244
+ "50286": {
245
+ "content": " ",
246
+ "lstrip": false,
247
+ "normalized": true,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": false
251
+ },
252
+ "50287": {
253
+ "content": "\t\t\t\t\t\t\t\t\t",
254
+ "lstrip": false,
255
+ "normalized": true,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": false
259
+ },
260
+ "50288": {
261
+ "content": "\t\t\t\t\t\t\t\t",
262
+ "lstrip": false,
263
+ "normalized": true,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": false
267
+ },
268
+ "50289": {
269
+ "content": "\t\t\t\t\t\t\t",
270
+ "lstrip": false,
271
+ "normalized": true,
272
+ "rstrip": false,
273
+ "single_word": false,
274
+ "special": false
275
+ },
276
+ "50290": {
277
+ "content": "\t\t\t\t\t\t",
278
+ "lstrip": false,
279
+ "normalized": true,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": false
283
+ },
284
+ "50291": {
285
+ "content": "\t\t\t\t\t",
286
+ "lstrip": false,
287
+ "normalized": true,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": false
291
+ },
292
+ "50292": {
293
+ "content": "\t\t\t\t",
294
+ "lstrip": false,
295
+ "normalized": true,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": false
299
+ },
300
+ "50293": {
301
+ "content": "\t\t\t",
302
+ "lstrip": false,
303
+ "normalized": true,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": false
307
+ },
308
+ "50294": {
309
+ "content": "\t\t",
310
+ "lstrip": false,
311
+ "normalized": true,
312
+ "rstrip": false,
313
+ "single_word": false,
314
+ "special": false
315
+ }
316
+ },
317
+ "bos_token": "<|endoftext|>",
318
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
319
+ "clean_up_tokenization_spaces": true,
320
+ "eos_token": "<|endoftext|>",
321
+ "model_max_length": 2048,
322
+ "pad_token": "<|endoftext|>",
323
+ "tokenizer_class": "CodeGenTokenizer",
324
+ "unk_token": "<|endoftext|>"
325
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.98,
3
+ "train_loss": 0.010348274312432735,
4
+ "train_runtime": 1408.9952,
5
+ "train_samples": 61135,
6
+ "train_samples_per_second": 1.419,
7
+ "train_steps_per_second": 0.088
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,228 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.984,
5
+ "eval_steps": 100,
6
+ "global_step": 124,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 3.846153846153847e-07,
14
+ "logits/chosen": 0.02903342992067337,
15
+ "logits/rejected": 0.16799500584602356,
16
+ "logps/chosen": -204.7097930908203,
17
+ "logps/rejected": -186.28207397460938,
18
+ "loss": 0.0102,
19
+ "rewards/accuracies": 0.0,
20
+ "rewards/chosen": 0.0,
21
+ "rewards/margins": 0.0,
22
+ "rewards/rejected": 0.0,
23
+ "step": 1
24
+ },
25
+ {
26
+ "epoch": 0.16,
27
+ "learning_rate": 3.846153846153847e-06,
28
+ "logits/chosen": 0.11909348517656326,
29
+ "logits/rejected": 0.1480591893196106,
30
+ "logps/chosen": -174.38600158691406,
31
+ "logps/rejected": -139.39389038085938,
32
+ "loss": 0.0103,
33
+ "rewards/accuracies": 0.3541666567325592,
34
+ "rewards/chosen": 0.0004580159147735685,
35
+ "rewards/margins": -5.351095023797825e-05,
36
+ "rewards/rejected": 0.0005115267704240978,
37
+ "step": 10
38
+ },
39
+ {
40
+ "epoch": 0.32,
41
+ "learning_rate": 4.951096619903317e-06,
42
+ "logits/chosen": 0.1915196031332016,
43
+ "logits/rejected": 0.26785004138946533,
44
+ "logps/chosen": -186.1024169921875,
45
+ "logps/rejected": -150.16329956054688,
46
+ "loss": 0.0103,
47
+ "rewards/accuracies": 0.40625,
48
+ "rewards/chosen": 8.462425466859713e-05,
49
+ "rewards/margins": 0.00011474495113361627,
50
+ "rewards/rejected": -3.012050910911057e-05,
51
+ "step": 20
52
+ },
53
+ {
54
+ "epoch": 0.48,
55
+ "learning_rate": 4.716164218065246e-06,
56
+ "logits/chosen": 0.09372388571500778,
57
+ "logits/rejected": 0.09187857806682587,
58
+ "logps/chosen": -189.90634155273438,
59
+ "logps/rejected": -176.62911987304688,
60
+ "loss": 0.0102,
61
+ "rewards/accuracies": 0.4000000059604645,
62
+ "rewards/chosen": 0.0012555012945085764,
63
+ "rewards/margins": 0.0008926725131459534,
64
+ "rewards/rejected": 0.0003628287522587925,
65
+ "step": 30
66
+ },
67
+ {
68
+ "epoch": 0.64,
69
+ "learning_rate": 4.3048902348863116e-06,
70
+ "logits/chosen": 0.21573364734649658,
71
+ "logits/rejected": 0.1305653154850006,
72
+ "logps/chosen": -178.8751220703125,
73
+ "logps/rejected": -151.7847137451172,
74
+ "loss": 0.0106,
75
+ "rewards/accuracies": 0.35624998807907104,
76
+ "rewards/chosen": 0.0010144033003598452,
77
+ "rewards/margins": -0.0007725629839114845,
78
+ "rewards/rejected": 0.0017869662260636687,
79
+ "step": 40
80
+ },
81
+ {
82
+ "epoch": 0.8,
83
+ "learning_rate": 3.7500000000000005e-06,
84
+ "logits/chosen": 0.10782618820667267,
85
+ "logits/rejected": 0.1629345715045929,
86
+ "logps/chosen": -185.59564208984375,
87
+ "logps/rejected": -174.7571563720703,
88
+ "loss": 0.0106,
89
+ "rewards/accuracies": 0.32499998807907104,
90
+ "rewards/chosen": -0.00029209800413809717,
91
+ "rewards/margins": -0.0012864455347880721,
92
+ "rewards/rejected": 0.0009943475015461445,
93
+ "step": 50
94
+ },
95
+ {
96
+ "epoch": 0.96,
97
+ "learning_rate": 3.0956464785579125e-06,
98
+ "logits/chosen": 0.19225239753723145,
99
+ "logits/rejected": 0.18530502915382385,
100
+ "logps/chosen": -194.72091674804688,
101
+ "logps/rejected": -159.44725036621094,
102
+ "loss": 0.0101,
103
+ "rewards/accuracies": 0.4124999940395355,
104
+ "rewards/chosen": 0.002120513701811433,
105
+ "rewards/margins": 0.0013710735365748405,
106
+ "rewards/rejected": 0.0007494401070289314,
107
+ "step": 60
108
+ },
109
+ {
110
+ "epoch": 1.12,
111
+ "learning_rate": 2.39389699200963e-06,
112
+ "logits/chosen": 0.18958896398544312,
113
+ "logits/rejected": 0.14928244054317474,
114
+ "logps/chosen": -196.82078552246094,
115
+ "logps/rejected": -172.227294921875,
116
+ "loss": 0.0107,
117
+ "rewards/accuracies": 0.3687500059604645,
118
+ "rewards/chosen": -0.00045417825458571315,
119
+ "rewards/margins": -0.0015611432027071714,
120
+ "rewards/rejected": 0.0011069647734984756,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 1.28,
125
+ "learning_rate": 1.700590188571887e-06,
126
+ "logits/chosen": 0.15342679619789124,
127
+ "logits/rejected": 0.13346508145332336,
128
+ "logps/chosen": -176.46441650390625,
129
+ "logps/rejected": -149.63717651367188,
130
+ "loss": 0.0102,
131
+ "rewards/accuracies": 0.39375001192092896,
132
+ "rewards/chosen": 0.0011017677607014775,
133
+ "rewards/margins": 0.0006318273372016847,
134
+ "rewards/rejected": 0.000469940627226606,
135
+ "step": 80
136
+ },
137
+ {
138
+ "epoch": 1.44,
139
+ "learning_rate": 1.0708929268538034e-06,
140
+ "logits/chosen": 0.19051842391490936,
141
+ "logits/rejected": 0.15732800960540771,
142
+ "logps/chosen": -183.8511199951172,
143
+ "logps/rejected": -157.0377197265625,
144
+ "loss": 0.0104,
145
+ "rewards/accuracies": 0.34375,
146
+ "rewards/chosen": 0.000780799426138401,
147
+ "rewards/margins": -0.000656499934848398,
148
+ "rewards/rejected": 0.0014372995356097817,
149
+ "step": 90
150
+ },
151
+ {
152
+ "epoch": 1.6,
153
+ "learning_rate": 5.549106142039018e-07,
154
+ "logits/chosen": 0.16213683784008026,
155
+ "logits/rejected": 0.04842492565512657,
156
+ "logps/chosen": -177.85955810546875,
157
+ "logps/rejected": -152.51058959960938,
158
+ "loss": 0.0102,
159
+ "rewards/accuracies": 0.39375001192092896,
160
+ "rewards/chosen": 0.0025749087799340487,
161
+ "rewards/margins": 0.0006177256000228226,
162
+ "rewards/rejected": 0.001957183238118887,
163
+ "step": 100
164
+ },
165
+ {
166
+ "epoch": 1.6,
167
+ "eval_logits/chosen": -0.007027674000710249,
168
+ "eval_logits/rejected": 0.09070703387260437,
169
+ "eval_logps/chosen": -306.4146728515625,
170
+ "eval_logps/rejected": -278.6007995605469,
171
+ "eval_loss": 0.010791419073939323,
172
+ "eval_rewards/accuracies": 0.4830000102519989,
173
+ "eval_rewards/chosen": 0.001202387735247612,
174
+ "eval_rewards/margins": -0.00015190700651146472,
175
+ "eval_rewards/rejected": 0.001354294829070568,
176
+ "eval_runtime": 432.9902,
177
+ "eval_samples_per_second": 4.619,
178
+ "eval_steps_per_second": 1.155,
179
+ "step": 100
180
+ },
181
+ {
182
+ "epoch": 1.76,
183
+ "learning_rate": 1.937002879188285e-07,
184
+ "logits/chosen": 0.22388437390327454,
185
+ "logits/rejected": 0.19077368080615997,
186
+ "logps/chosen": -205.4290008544922,
187
+ "logps/rejected": -172.20669555664062,
188
+ "loss": 0.0104,
189
+ "rewards/accuracies": 0.3499999940395355,
190
+ "rewards/chosen": 0.00022258120588958263,
191
+ "rewards/margins": -0.00020028270955663174,
192
+ "rewards/rejected": 0.0004228639299981296,
193
+ "step": 110
194
+ },
195
+ {
196
+ "epoch": 1.92,
197
+ "learning_rate": 1.6003680950742728e-08,
198
+ "logits/chosen": 0.17824237048625946,
199
+ "logits/rejected": 0.234628364443779,
200
+ "logps/chosen": -184.6617431640625,
201
+ "logps/rejected": -160.73251342773438,
202
+ "loss": 0.0104,
203
+ "rewards/accuracies": 0.40625,
204
+ "rewards/chosen": 0.0013891400303691626,
205
+ "rewards/margins": 9.483665053267032e-05,
206
+ "rewards/rejected": 0.0012943033361807466,
207
+ "step": 120
208
+ },
209
+ {
210
+ "epoch": 1.98,
211
+ "step": 124,
212
+ "total_flos": 0.0,
213
+ "train_loss": 0.010348274312432735,
214
+ "train_runtime": 1408.9952,
215
+ "train_samples_per_second": 1.419,
216
+ "train_steps_per_second": 0.088
217
+ }
218
+ ],
219
+ "logging_steps": 10,
220
+ "max_steps": 124,
221
+ "num_input_tokens_seen": 0,
222
+ "num_train_epochs": 2,
223
+ "save_steps": 100,
224
+ "total_flos": 0.0,
225
+ "train_batch_size": 4,
226
+ "trial_name": null,
227
+ "trial_params": null
228
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:838c5a674b3a924ff50e77da938a2c9ef30d2987f8fb04dada9ac4b7bf287b5a
3
+ size 5880
vocab.json ADDED
The diff for this file is too large to render. See raw diff