chchen commited on
Commit
9649f0f
·
verified ·
1 Parent(s): dacb780

End of training

Browse files
README.md CHANGED
@@ -3,9 +3,10 @@ base_model: google/gemma-2-9b-it
3
  library_name: peft
4
  license: gemma
5
  tags:
 
 
6
  - trl
7
  - dpo
8
- - llama-factory
9
  - generated_from_trainer
10
  model-index:
11
  - name: Gemma-2-9B-It-SAA-Half
@@ -17,7 +18,19 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  # Gemma-2-9B-It-SAA-Half
19
 
20
- This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
 
 
21
 
22
  ## Model description
23
 
 
3
  library_name: peft
4
  license: gemma
5
  tags:
6
+ - llama-factory
7
+ - lora
8
  - trl
9
  - dpo
 
10
  - generated_from_trainer
11
  model-index:
12
  - name: Gemma-2-9B-It-SAA-Half
 
18
 
19
  # Gemma-2-9B-It-SAA-Half
20
 
21
+ This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the bct_non_cot_dpo_500 dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 1.1383
24
+ - Rewards/chosen: -0.1098
25
+ - Rewards/rejected: -0.1934
26
+ - Rewards/accuracies: 0.8400
27
+ - Rewards/margins: 0.0836
28
+ - Logps/rejected: -1.9339
29
+ - Logps/chosen: -1.0982
30
+ - Logits/rejected: 0.3316
31
+ - Logits/chosen: 0.1306
32
+ - Sft Loss: 0.1185
33
+ - Odds Ratio Loss: 10.1978
34
 
35
  ## Model description
36
 
all_results.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986666666666667,
3
+ "eval_logits/chosen": 0.13058120012283325,
4
+ "eval_logits/rejected": 0.3316400647163391,
5
+ "eval_logps/chosen": -1.0981853008270264,
6
+ "eval_logps/rejected": -1.93387770652771,
7
+ "eval_loss": 1.138285517692566,
8
+ "eval_odds_ratio_loss": 10.197811126708984,
9
+ "eval_rewards/accuracies": 0.8399999737739563,
10
+ "eval_rewards/chosen": -0.10981854796409607,
11
+ "eval_rewards/margins": 0.0835692435503006,
12
+ "eval_rewards/rejected": -0.19338779151439667,
13
+ "eval_runtime": 3.5214,
14
+ "eval_samples_per_second": 14.199,
15
+ "eval_sft_loss": 0.11850442737340927,
16
+ "eval_steps_per_second": 7.099,
17
+ "total_flos": 1.79183583387648e+16,
18
+ "train_loss": 1.8150039003008889,
19
+ "train_runtime": 321.7396,
20
+ "train_samples_per_second": 4.196,
21
+ "train_steps_per_second": 0.261
22
+ }
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986666666666667,
3
+ "eval_logits/chosen": 0.13058120012283325,
4
+ "eval_logits/rejected": 0.3316400647163391,
5
+ "eval_logps/chosen": -1.0981853008270264,
6
+ "eval_logps/rejected": -1.93387770652771,
7
+ "eval_loss": 1.138285517692566,
8
+ "eval_odds_ratio_loss": 10.197811126708984,
9
+ "eval_rewards/accuracies": 0.8399999737739563,
10
+ "eval_rewards/chosen": -0.10981854796409607,
11
+ "eval_rewards/margins": 0.0835692435503006,
12
+ "eval_rewards/rejected": -0.19338779151439667,
13
+ "eval_runtime": 3.5214,
14
+ "eval_samples_per_second": 14.199,
15
+ "eval_sft_loss": 0.11850442737340927,
16
+ "eval_steps_per_second": 7.099
17
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.986666666666667,
3
+ "total_flos": 1.79183583387648e+16,
4
+ "train_loss": 1.8150039003008889,
5
+ "train_runtime": 321.7396,
6
+ "train_samples_per_second": 4.196,
7
+ "train_steps_per_second": 0.261
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.986666666666667,
5
+ "eval_steps": 500,
6
+ "global_step": 84,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.35555555555555557,
13
+ "grad_norm": 8.401800155639648,
14
+ "learning_rate": 4.997807075247147e-06,
15
+ "logits/chosen": -0.8945320248603821,
16
+ "logits/rejected": -0.5788193345069885,
17
+ "logps/chosen": -2.9349863529205322,
18
+ "logps/rejected": -3.64762806892395,
19
+ "loss": 2.984,
20
+ "odds_ratio_loss": 25.994487762451172,
21
+ "rewards/accuracies": 0.8187500238418579,
22
+ "rewards/chosen": -0.2934986352920532,
23
+ "rewards/margins": 0.07126419246196747,
24
+ "rewards/rejected": -0.3647628426551819,
25
+ "sft_loss": 0.38450396060943604,
26
+ "step": 10
27
+ },
28
+ {
29
+ "epoch": 0.7111111111111111,
30
+ "grad_norm": 8.160788536071777,
31
+ "learning_rate": 4.7392794005985324e-06,
32
+ "logits/chosen": -0.042264025658369064,
33
+ "logits/rejected": 0.3497065603733063,
34
+ "logps/chosen": -2.580463171005249,
35
+ "logps/rejected": -3.380384922027588,
36
+ "loss": 2.6249,
37
+ "odds_ratio_loss": 22.97456932067871,
38
+ "rewards/accuracies": 0.8062499761581421,
39
+ "rewards/chosen": -0.25804632902145386,
40
+ "rewards/margins": 0.07999216020107269,
41
+ "rewards/rejected": -0.33803847432136536,
42
+ "sft_loss": 0.327446311712265,
43
+ "step": 20
44
+ },
45
+ {
46
+ "epoch": 1.0666666666666667,
47
+ "grad_norm": 6.696309566497803,
48
+ "learning_rate": 4.093559974371725e-06,
49
+ "logits/chosen": 0.13843640685081482,
50
+ "logits/rejected": 0.34011250734329224,
51
+ "logps/chosen": -2.284363031387329,
52
+ "logps/rejected": -3.1281402111053467,
53
+ "loss": 2.3288,
54
+ "odds_ratio_loss": 20.365238189697266,
55
+ "rewards/accuracies": 0.824999988079071,
56
+ "rewards/chosen": -0.22843630611896515,
57
+ "rewards/margins": 0.084377720952034,
58
+ "rewards/rejected": -0.31281405687332153,
59
+ "sft_loss": 0.2922500967979431,
60
+ "step": 30
61
+ },
62
+ {
63
+ "epoch": 1.4222222222222223,
64
+ "grad_norm": 6.540295600891113,
65
+ "learning_rate": 3.1722995515381644e-06,
66
+ "logits/chosen": -0.17821866273880005,
67
+ "logits/rejected": 0.14577758312225342,
68
+ "logps/chosen": -1.8487365245819092,
69
+ "logps/rejected": -2.766937494277954,
70
+ "loss": 1.8902,
71
+ "odds_ratio_loss": 16.7292537689209,
72
+ "rewards/accuracies": 0.8187500238418579,
73
+ "rewards/chosen": -0.18487365543842316,
74
+ "rewards/margins": 0.0918201133608818,
75
+ "rewards/rejected": -0.27669376134872437,
76
+ "sft_loss": 0.21722586452960968,
77
+ "step": 40
78
+ },
79
+ {
80
+ "epoch": 1.7777777777777777,
81
+ "grad_norm": 6.058716297149658,
82
+ "learning_rate": 2.134792428593971e-06,
83
+ "logits/chosen": -0.18059103190898895,
84
+ "logits/rejected": 0.23373714089393616,
85
+ "logps/chosen": -1.3791837692260742,
86
+ "logps/rejected": -2.2727575302124023,
87
+ "loss": 1.4255,
88
+ "odds_ratio_loss": 12.77796459197998,
89
+ "rewards/accuracies": 0.8187500238418579,
90
+ "rewards/chosen": -0.1379183828830719,
91
+ "rewards/margins": 0.08935736119747162,
92
+ "rewards/rejected": -0.2272757589817047,
93
+ "sft_loss": 0.14766769111156464,
94
+ "step": 50
95
+ },
96
+ {
97
+ "epoch": 2.1333333333333333,
98
+ "grad_norm": 5.3382248878479,
99
+ "learning_rate": 1.160433012552508e-06,
100
+ "logits/chosen": 0.018472682684659958,
101
+ "logits/rejected": 0.20830214023590088,
102
+ "logps/chosen": -1.2152187824249268,
103
+ "logps/rejected": -2.189805269241333,
104
+ "loss": 1.2625,
105
+ "odds_ratio_loss": 11.279905319213867,
106
+ "rewards/accuracies": 0.800000011920929,
107
+ "rewards/chosen": -0.12152187526226044,
108
+ "rewards/margins": 0.09745865315198898,
109
+ "rewards/rejected": -0.21898052096366882,
110
+ "sft_loss": 0.13448992371559143,
111
+ "step": 60
112
+ },
113
+ {
114
+ "epoch": 2.488888888888889,
115
+ "grad_norm": 4.452148914337158,
116
+ "learning_rate": 4.1769689822475147e-07,
117
+ "logits/chosen": -0.5339587330818176,
118
+ "logits/rejected": -0.18176746368408203,
119
+ "logps/chosen": -1.101285457611084,
120
+ "logps/rejected": -2.074463367462158,
121
+ "loss": 1.1431,
122
+ "odds_ratio_loss": 10.337614059448242,
123
+ "rewards/accuracies": 0.824999988079071,
124
+ "rewards/chosen": -0.11012855917215347,
125
+ "rewards/margins": 0.09731777757406235,
126
+ "rewards/rejected": -0.20744633674621582,
127
+ "sft_loss": 0.10934151709079742,
128
+ "step": 70
129
+ },
130
+ {
131
+ "epoch": 2.8444444444444446,
132
+ "grad_norm": 5.778459072113037,
133
+ "learning_rate": 3.5009907323737826e-08,
134
+ "logits/chosen": -0.40168875455856323,
135
+ "logits/rejected": -0.02362009882926941,
136
+ "logps/chosen": -1.0387601852416992,
137
+ "logps/rejected": -2.0947299003601074,
138
+ "loss": 1.0746,
139
+ "odds_ratio_loss": 9.696004867553711,
140
+ "rewards/accuracies": 0.856249988079071,
141
+ "rewards/chosen": -0.1038760170340538,
142
+ "rewards/margins": 0.10559698194265366,
143
+ "rewards/rejected": -0.20947298407554626,
144
+ "sft_loss": 0.10503064095973969,
145
+ "step": 80
146
+ },
147
+ {
148
+ "epoch": 2.986666666666667,
149
+ "step": 84,
150
+ "total_flos": 1.79183583387648e+16,
151
+ "train_loss": 1.8150039003008889,
152
+ "train_runtime": 321.7396,
153
+ "train_samples_per_second": 4.196,
154
+ "train_steps_per_second": 0.261
155
+ }
156
+ ],
157
+ "logging_steps": 10,
158
+ "max_steps": 84,
159
+ "num_input_tokens_seen": 0,
160
+ "num_train_epochs": 3,
161
+ "save_steps": 500,
162
+ "stateful_callbacks": {
163
+ "TrainerControl": {
164
+ "args": {
165
+ "should_epoch_stop": false,
166
+ "should_evaluate": false,
167
+ "should_log": false,
168
+ "should_save": true,
169
+ "should_training_stop": true
170
+ },
171
+ "attributes": {}
172
+ }
173
+ },
174
+ "total_flos": 1.79183583387648e+16,
175
+ "train_batch_size": 2,
176
+ "trial_name": null,
177
+ "trial_params": null
178
+ }
training_loss.png ADDED
training_rewards_accuracies.png ADDED