mtzig commited on
Commit
8fc9053
·
verified ·
1 Parent(s): b1de13f

Model save

Browse files
README.md ADDED
@@ -0,0 +1,256 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: peiyi9979/math-shepherd-mistral-7b-prm
3
+ library_name: peft
4
+ metrics:
5
+ - accuracy
6
+ - precision
7
+ - recall
8
+ - f1
9
+ tags:
10
+ - generated_from_trainer
11
+ model-index:
12
+ - name: v0_mistral_lora_last_n_train_3
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # v0_mistral_lora_last_n_train_3
20
+
21
+ This model is a fine-tuned version of [peiyi9979/math-shepherd-mistral-7b-prm](https://huggingface.co/peiyi9979/math-shepherd-mistral-7b-prm) on an unknown dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.2838
24
+ - Accuracy: 0.8991
25
+ - Precision: 0.8701
26
+ - Recall: 0.67
27
+ - F1: 0.7571
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 2e-05
47
+ - train_batch_size: 8
48
+ - eval_batch_size: 8
49
+ - seed: 42
50
+ - distributed_type: multi-GPU
51
+ - num_devices: 4
52
+ - gradient_accumulation_steps: 2
53
+ - total_train_batch_size: 64
54
+ - total_eval_batch_size: 32
55
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
56
+ - lr_scheduler_type: cosine
57
+ - lr_scheduler_warmup_ratio: 0.1
58
+ - num_epochs: 1
59
+
60
+ ### Training results
61
+
62
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
63
+ |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
64
+ | 0.8403 | 0.0054 | 5 | 0.6496 | 0.6315 | 0.3113 | 0.47 | 0.3745 |
65
+ | 0.7673 | 0.0109 | 10 | 0.6456 | 0.6385 | 0.3176 | 0.47 | 0.3790 |
66
+ | 0.8495 | 0.0163 | 15 | 0.6429 | 0.6432 | 0.3194 | 0.46 | 0.3770 |
67
+ | 0.7675 | 0.0217 | 20 | 0.6363 | 0.6549 | 0.3333 | 0.47 | 0.3900 |
68
+ | 0.7347 | 0.0271 | 25 | 0.6235 | 0.6831 | 0.3529 | 0.42 | 0.3836 |
69
+ | 0.7087 | 0.0326 | 30 | 0.6053 | 0.7160 | 0.3846 | 0.35 | 0.3665 |
70
+ | 0.7302 | 0.0380 | 35 | 0.5893 | 0.7394 | 0.4247 | 0.31 | 0.3584 |
71
+ | 0.6417 | 0.0434 | 40 | 0.5743 | 0.7465 | 0.4259 | 0.23 | 0.2987 |
72
+ | 0.6635 | 0.0488 | 45 | 0.5677 | 0.7535 | 0.4419 | 0.19 | 0.2657 |
73
+ | 0.5966 | 0.0543 | 50 | 0.5625 | 0.7512 | 0.4167 | 0.15 | 0.2206 |
74
+ | 0.5228 | 0.0597 | 55 | 0.5590 | 0.7535 | 0.4286 | 0.15 | 0.2222 |
75
+ | 0.5335 | 0.0651 | 60 | 0.5517 | 0.7629 | 0.4815 | 0.13 | 0.2047 |
76
+ | 0.539 | 0.0705 | 65 | 0.5417 | 0.7653 | 0.5 | 0.13 | 0.2063 |
77
+ | 0.5672 | 0.0760 | 70 | 0.5224 | 0.7676 | 0.5161 | 0.16 | 0.2443 |
78
+ | 0.5947 | 0.0814 | 75 | 0.5087 | 0.7746 | 0.5556 | 0.2 | 0.2941 |
79
+ | 0.5674 | 0.0868 | 80 | 0.4976 | 0.7817 | 0.5854 | 0.24 | 0.3404 |
80
+ | 0.4785 | 0.0922 | 85 | 0.4872 | 0.7934 | 0.625 | 0.3 | 0.4054 |
81
+ | 0.4498 | 0.0977 | 90 | 0.4765 | 0.8075 | 0.6957 | 0.32 | 0.4384 |
82
+ | 0.5334 | 0.1031 | 95 | 0.4615 | 0.8099 | 0.7436 | 0.29 | 0.4173 |
83
+ | 0.5016 | 0.1085 | 100 | 0.4501 | 0.8216 | 0.8333 | 0.3 | 0.4412 |
84
+ | 0.5298 | 0.1139 | 105 | 0.4345 | 0.8357 | 0.8125 | 0.39 | 0.5270 |
85
+ | 0.4018 | 0.1194 | 110 | 0.4256 | 0.8498 | 0.8 | 0.48 | 0.6 |
86
+ | 0.4767 | 0.1248 | 115 | 0.4180 | 0.8638 | 0.7692 | 0.6 | 0.6742 |
87
+ | 0.3461 | 0.1302 | 120 | 0.4038 | 0.8615 | 0.7662 | 0.59 | 0.6667 |
88
+ | 0.4099 | 0.1356 | 125 | 0.3915 | 0.8638 | 0.7838 | 0.58 | 0.6667 |
89
+ | 0.4437 | 0.1411 | 130 | 0.3839 | 0.8615 | 0.7662 | 0.59 | 0.6667 |
90
+ | 0.5666 | 0.1465 | 135 | 0.3759 | 0.8638 | 0.7692 | 0.6 | 0.6742 |
91
+ | 0.4014 | 0.1519 | 140 | 0.3721 | 0.8615 | 0.7412 | 0.63 | 0.6811 |
92
+ | 0.481 | 0.1574 | 145 | 0.3649 | 0.8709 | 0.8 | 0.6 | 0.6857 |
93
+ | 0.4848 | 0.1628 | 150 | 0.3642 | 0.8662 | 0.7945 | 0.58 | 0.6705 |
94
+ | 0.3549 | 0.1682 | 155 | 0.3610 | 0.8685 | 0.7895 | 0.6 | 0.6818 |
95
+ | 0.4809 | 0.1736 | 160 | 0.3606 | 0.8638 | 0.7692 | 0.6 | 0.6742 |
96
+ | 0.4665 | 0.1791 | 165 | 0.3536 | 0.8615 | 0.7662 | 0.59 | 0.6667 |
97
+ | 0.4774 | 0.1845 | 170 | 0.3541 | 0.8568 | 0.7468 | 0.59 | 0.6592 |
98
+ | 0.3454 | 0.1899 | 175 | 0.3516 | 0.8592 | 0.7439 | 0.61 | 0.6703 |
99
+ | 0.3102 | 0.1953 | 180 | 0.3500 | 0.8638 | 0.7692 | 0.6 | 0.6742 |
100
+ | 0.2953 | 0.2008 | 185 | 0.3473 | 0.8662 | 0.8028 | 0.57 | 0.6667 |
101
+ | 0.4097 | 0.2062 | 190 | 0.3501 | 0.8709 | 0.8169 | 0.58 | 0.6784 |
102
+ | 0.3379 | 0.2116 | 195 | 0.3466 | 0.8638 | 0.7625 | 0.61 | 0.6778 |
103
+ | 0.3081 | 0.2170 | 200 | 0.3466 | 0.8662 | 0.7792 | 0.6 | 0.6780 |
104
+ | 0.3262 | 0.2225 | 205 | 0.3493 | 0.8685 | 0.7821 | 0.61 | 0.6854 |
105
+ | 0.3463 | 0.2279 | 210 | 0.3461 | 0.8662 | 0.7529 | 0.64 | 0.6919 |
106
+ | 0.402 | 0.2333 | 215 | 0.3423 | 0.8662 | 0.7416 | 0.66 | 0.6984 |
107
+ | 0.3456 | 0.2387 | 220 | 0.3401 | 0.8709 | 0.7778 | 0.63 | 0.6961 |
108
+ | 0.3949 | 0.2442 | 225 | 0.3384 | 0.8826 | 0.8378 | 0.62 | 0.7126 |
109
+ | 0.4872 | 0.2496 | 230 | 0.3386 | 0.8826 | 0.8205 | 0.64 | 0.7191 |
110
+ | 0.3817 | 0.2550 | 235 | 0.3359 | 0.8803 | 0.8101 | 0.64 | 0.7151 |
111
+ | 0.3366 | 0.2604 | 240 | 0.3328 | 0.8803 | 0.8101 | 0.64 | 0.7151 |
112
+ | 0.3824 | 0.2659 | 245 | 0.3286 | 0.8803 | 0.8182 | 0.63 | 0.7119 |
113
+ | 0.325 | 0.2713 | 250 | 0.3290 | 0.8732 | 0.7875 | 0.63 | 0.7 |
114
+ | 0.2943 | 0.2767 | 255 | 0.3264 | 0.8685 | 0.7821 | 0.61 | 0.6854 |
115
+ | 0.3434 | 0.2821 | 260 | 0.3275 | 0.8732 | 0.7875 | 0.63 | 0.7 |
116
+ | 0.3224 | 0.2876 | 265 | 0.3280 | 0.8779 | 0.7857 | 0.66 | 0.7174 |
117
+ | 0.3386 | 0.2930 | 270 | 0.3257 | 0.8826 | 0.8289 | 0.63 | 0.7159 |
118
+ | 0.304 | 0.2984 | 275 | 0.3238 | 0.8826 | 0.8125 | 0.65 | 0.7222 |
119
+ | 0.4793 | 0.3039 | 280 | 0.3250 | 0.8850 | 0.8228 | 0.65 | 0.7263 |
120
+ | 0.4138 | 0.3093 | 285 | 0.3238 | 0.8850 | 0.8312 | 0.64 | 0.7232 |
121
+ | 0.3852 | 0.3147 | 290 | 0.3237 | 0.8897 | 0.8272 | 0.67 | 0.7403 |
122
+ | 0.3196 | 0.3201 | 295 | 0.3240 | 0.8850 | 0.8 | 0.68 | 0.7351 |
123
+ | 0.4023 | 0.3256 | 300 | 0.3214 | 0.8897 | 0.8533 | 0.64 | 0.7314 |
124
+ | 0.3974 | 0.3310 | 305 | 0.3214 | 0.8944 | 0.8667 | 0.65 | 0.7429 |
125
+ | 0.2933 | 0.3364 | 310 | 0.3207 | 0.8967 | 0.85 | 0.68 | 0.7556 |
126
+ | 0.3391 | 0.3418 | 315 | 0.3151 | 0.8991 | 0.8608 | 0.68 | 0.7598 |
127
+ | 0.2682 | 0.3473 | 320 | 0.3155 | 0.9014 | 0.8452 | 0.71 | 0.7717 |
128
+ | 0.4006 | 0.3527 | 325 | 0.3179 | 0.8944 | 0.8090 | 0.72 | 0.7619 |
129
+ | 0.3129 | 0.3581 | 330 | 0.3144 | 0.8967 | 0.8415 | 0.69 | 0.7582 |
130
+ | 0.3386 | 0.3635 | 335 | 0.3114 | 0.8920 | 0.8553 | 0.65 | 0.7386 |
131
+ | 0.3413 | 0.3690 | 340 | 0.3116 | 0.8920 | 0.8649 | 0.64 | 0.7356 |
132
+ | 0.3122 | 0.3744 | 345 | 0.3118 | 0.8920 | 0.8553 | 0.65 | 0.7386 |
133
+ | 0.3871 | 0.3798 | 350 | 0.3110 | 0.8920 | 0.8375 | 0.67 | 0.7444 |
134
+ | 0.2153 | 0.3852 | 355 | 0.3101 | 0.8944 | 0.8481 | 0.67 | 0.7486 |
135
+ | 0.3732 | 0.3907 | 360 | 0.3098 | 0.8920 | 0.8553 | 0.65 | 0.7386 |
136
+ | 0.3858 | 0.3961 | 365 | 0.3082 | 0.8944 | 0.8395 | 0.68 | 0.7514 |
137
+ | 0.2806 | 0.4015 | 370 | 0.3079 | 0.8944 | 0.8767 | 0.64 | 0.7399 |
138
+ | 0.3634 | 0.4069 | 375 | 0.3081 | 0.8944 | 0.8571 | 0.66 | 0.7458 |
139
+ | 0.3554 | 0.4124 | 380 | 0.3134 | 0.8920 | 0.8375 | 0.67 | 0.7444 |
140
+ | 0.35 | 0.4178 | 385 | 0.3092 | 0.8944 | 0.8481 | 0.67 | 0.7486 |
141
+ | 0.369 | 0.4232 | 390 | 0.3090 | 0.8897 | 0.8841 | 0.61 | 0.7219 |
142
+ | 0.3476 | 0.4286 | 395 | 0.3047 | 0.8897 | 0.8630 | 0.63 | 0.7283 |
143
+ | 0.3525 | 0.4341 | 400 | 0.3073 | 0.8850 | 0.7802 | 0.71 | 0.7435 |
144
+ | 0.3312 | 0.4395 | 405 | 0.3042 | 0.8826 | 0.7907 | 0.68 | 0.7312 |
145
+ | 0.3379 | 0.4449 | 410 | 0.2998 | 0.8920 | 0.8375 | 0.67 | 0.7444 |
146
+ | 0.3113 | 0.4504 | 415 | 0.2999 | 0.9014 | 0.8816 | 0.67 | 0.7614 |
147
+ | 0.3772 | 0.4558 | 420 | 0.2991 | 0.8967 | 0.85 | 0.68 | 0.7556 |
148
+ | 0.3598 | 0.4612 | 425 | 0.3028 | 0.8873 | 0.8023 | 0.69 | 0.7419 |
149
+ | 0.3031 | 0.4666 | 430 | 0.2989 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
150
+ | 0.3537 | 0.4721 | 435 | 0.2986 | 0.8991 | 0.8904 | 0.65 | 0.7514 |
151
+ | 0.3188 | 0.4775 | 440 | 0.2993 | 0.8991 | 0.8904 | 0.65 | 0.7514 |
152
+ | 0.2694 | 0.4829 | 445 | 0.2999 | 0.8991 | 0.88 | 0.66 | 0.7543 |
153
+ | 0.2925 | 0.4883 | 450 | 0.3000 | 0.8920 | 0.8857 | 0.62 | 0.7294 |
154
+ | 0.2575 | 0.4938 | 455 | 0.3008 | 0.8873 | 0.8714 | 0.61 | 0.7176 |
155
+ | 0.2553 | 0.4992 | 460 | 0.2954 | 0.8897 | 0.8533 | 0.64 | 0.7314 |
156
+ | 0.2947 | 0.5046 | 465 | 0.2991 | 0.8944 | 0.8235 | 0.7 | 0.7568 |
157
+ | 0.1847 | 0.5100 | 470 | 0.2949 | 0.8944 | 0.8667 | 0.65 | 0.7429 |
158
+ | 0.3747 | 0.5155 | 475 | 0.2963 | 0.8920 | 0.8649 | 0.64 | 0.7356 |
159
+ | 0.2153 | 0.5209 | 480 | 0.2954 | 0.8944 | 0.8667 | 0.65 | 0.7429 |
160
+ | 0.283 | 0.5263 | 485 | 0.2911 | 0.8967 | 0.85 | 0.68 | 0.7556 |
161
+ | 0.255 | 0.5317 | 490 | 0.2924 | 0.8944 | 0.8313 | 0.69 | 0.7541 |
162
+ | 0.3864 | 0.5372 | 495 | 0.2920 | 0.9014 | 0.8625 | 0.69 | 0.7667 |
163
+ | 0.3019 | 0.5426 | 500 | 0.2953 | 0.8920 | 0.8214 | 0.69 | 0.75 |
164
+ | 0.3855 | 0.5480 | 505 | 0.2941 | 0.8991 | 0.8608 | 0.68 | 0.7598 |
165
+ | 0.2762 | 0.5534 | 510 | 0.2938 | 0.8967 | 0.8784 | 0.65 | 0.7471 |
166
+ | 0.3806 | 0.5589 | 515 | 0.2970 | 0.8944 | 0.8767 | 0.64 | 0.7399 |
167
+ | 0.2644 | 0.5643 | 520 | 0.2951 | 0.8991 | 0.8904 | 0.65 | 0.7514 |
168
+ | 0.4142 | 0.5697 | 525 | 0.2952 | 0.9014 | 0.8625 | 0.69 | 0.7667 |
169
+ | 0.2897 | 0.5751 | 530 | 0.3044 | 0.8756 | 0.7474 | 0.71 | 0.7282 |
170
+ | 0.2989 | 0.5806 | 535 | 0.2940 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
171
+ | 0.3252 | 0.5860 | 540 | 0.2947 | 0.9014 | 0.8919 | 0.66 | 0.7586 |
172
+ | 0.3944 | 0.5914 | 545 | 0.2938 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
173
+ | 0.2853 | 0.5969 | 550 | 0.2991 | 0.8920 | 0.8293 | 0.68 | 0.7473 |
174
+ | 0.2416 | 0.6023 | 555 | 0.2970 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
175
+ | 0.4176 | 0.6077 | 560 | 0.3034 | 0.8944 | 0.8767 | 0.64 | 0.7399 |
176
+ | 0.3137 | 0.6131 | 565 | 0.2977 | 0.8967 | 0.8784 | 0.65 | 0.7471 |
177
+ | 0.3712 | 0.6186 | 570 | 0.2952 | 0.9014 | 0.8625 | 0.69 | 0.7667 |
178
+ | 0.2587 | 0.6240 | 575 | 0.2931 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
179
+ | 0.3369 | 0.6294 | 580 | 0.2975 | 0.8967 | 0.8889 | 0.64 | 0.7442 |
180
+ | 0.3566 | 0.6348 | 585 | 0.2960 | 0.8991 | 0.8904 | 0.65 | 0.7514 |
181
+ | 0.316 | 0.6403 | 590 | 0.2939 | 0.8967 | 0.8684 | 0.66 | 0.75 |
182
+ | 0.321 | 0.6457 | 595 | 0.2914 | 0.9014 | 0.8718 | 0.68 | 0.7640 |
183
+ | 0.3272 | 0.6511 | 600 | 0.2931 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
184
+ | 0.4241 | 0.6565 | 605 | 0.2937 | 0.9014 | 0.8718 | 0.68 | 0.7640 |
185
+ | 0.2708 | 0.6620 | 610 | 0.2928 | 0.9014 | 0.8625 | 0.69 | 0.7667 |
186
+ | 0.3422 | 0.6674 | 615 | 0.2930 | 0.9038 | 0.8734 | 0.69 | 0.7709 |
187
+ | 0.2884 | 0.6728 | 620 | 0.2945 | 0.8967 | 0.8684 | 0.66 | 0.75 |
188
+ | 0.247 | 0.6782 | 625 | 0.2931 | 0.8967 | 0.8684 | 0.66 | 0.75 |
189
+ | 0.3017 | 0.6837 | 630 | 0.2915 | 0.8967 | 0.8684 | 0.66 | 0.75 |
190
+ | 0.301 | 0.6891 | 635 | 0.2890 | 0.8967 | 0.8684 | 0.66 | 0.75 |
191
+ | 0.4131 | 0.6945 | 640 | 0.2909 | 0.8967 | 0.8415 | 0.69 | 0.7582 |
192
+ | 0.3617 | 0.6999 | 645 | 0.2936 | 0.8991 | 0.8353 | 0.71 | 0.7676 |
193
+ | 0.3389 | 0.7054 | 650 | 0.2929 | 0.8967 | 0.8182 | 0.72 | 0.7660 |
194
+ | 0.3274 | 0.7108 | 655 | 0.2903 | 0.9061 | 0.8659 | 0.71 | 0.7802 |
195
+ | 0.295 | 0.7162 | 660 | 0.2898 | 0.8967 | 0.8684 | 0.66 | 0.75 |
196
+ | 0.1267 | 0.7216 | 665 | 0.2917 | 0.9014 | 0.8919 | 0.66 | 0.7586 |
197
+ | 0.3636 | 0.7271 | 670 | 0.2919 | 0.9038 | 0.9041 | 0.66 | 0.7630 |
198
+ | 0.3415 | 0.7325 | 675 | 0.2926 | 0.9038 | 0.9041 | 0.66 | 0.7630 |
199
+ | 0.3356 | 0.7379 | 680 | 0.2914 | 0.9014 | 0.8919 | 0.66 | 0.7586 |
200
+ | 0.2784 | 0.7434 | 685 | 0.2861 | 0.9014 | 0.8718 | 0.68 | 0.7640 |
201
+ | 0.3187 | 0.7488 | 690 | 0.2856 | 0.9014 | 0.8537 | 0.7 | 0.7692 |
202
+ | 0.249 | 0.7542 | 695 | 0.2854 | 0.9038 | 0.8554 | 0.71 | 0.7760 |
203
+ | 0.3047 | 0.7596 | 700 | 0.2856 | 0.9061 | 0.8571 | 0.72 | 0.7826 |
204
+ | 0.358 | 0.7651 | 705 | 0.2851 | 0.9014 | 0.8537 | 0.7 | 0.7692 |
205
+ | 0.3681 | 0.7705 | 710 | 0.2846 | 0.8991 | 0.8608 | 0.68 | 0.7598 |
206
+ | 0.2785 | 0.7759 | 715 | 0.2854 | 0.8944 | 0.8571 | 0.66 | 0.7458 |
207
+ | 0.2938 | 0.7813 | 720 | 0.2862 | 0.8967 | 0.8784 | 0.65 | 0.7471 |
208
+ | 0.322 | 0.7868 | 725 | 0.2866 | 0.8967 | 0.8784 | 0.65 | 0.7471 |
209
+ | 0.3773 | 0.7922 | 730 | 0.2845 | 0.8944 | 0.8571 | 0.66 | 0.7458 |
210
+ | 0.3124 | 0.7976 | 735 | 0.2857 | 0.8991 | 0.8608 | 0.68 | 0.7598 |
211
+ | 0.1688 | 0.8030 | 740 | 0.2866 | 0.8991 | 0.8519 | 0.69 | 0.7624 |
212
+ | 0.389 | 0.8085 | 745 | 0.2853 | 0.8944 | 0.8481 | 0.67 | 0.7486 |
213
+ | 0.2116 | 0.8139 | 750 | 0.2861 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
214
+ | 0.2834 | 0.8193 | 755 | 0.2864 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
215
+ | 0.2635 | 0.8247 | 760 | 0.2852 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
216
+ | 0.3773 | 0.8302 | 765 | 0.2856 | 0.9014 | 0.8816 | 0.67 | 0.7614 |
217
+ | 0.2997 | 0.8356 | 770 | 0.2855 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
218
+ | 0.3151 | 0.8410 | 775 | 0.2861 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
219
+ | 0.3008 | 0.8464 | 780 | 0.2863 | 0.8991 | 0.88 | 0.66 | 0.7543 |
220
+ | 0.3162 | 0.8519 | 785 | 0.2852 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
221
+ | 0.2638 | 0.8573 | 790 | 0.2848 | 0.9014 | 0.8816 | 0.67 | 0.7614 |
222
+ | 0.4227 | 0.8627 | 795 | 0.2849 | 0.9014 | 0.8816 | 0.67 | 0.7614 |
223
+ | 0.2635 | 0.8681 | 800 | 0.2856 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
224
+ | 0.2781 | 0.8736 | 805 | 0.2841 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
225
+ | 0.42 | 0.8790 | 810 | 0.2845 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
226
+ | 0.4196 | 0.8844 | 815 | 0.2849 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
227
+ | 0.2923 | 0.8899 | 820 | 0.2830 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
228
+ | 0.2545 | 0.8953 | 825 | 0.2843 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
229
+ | 0.4537 | 0.9007 | 830 | 0.2848 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
230
+ | 0.2664 | 0.9061 | 835 | 0.2847 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
231
+ | 0.292 | 0.9116 | 840 | 0.2842 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
232
+ | 0.453 | 0.9170 | 845 | 0.2847 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
233
+ | 0.3671 | 0.9224 | 850 | 0.2833 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
234
+ | 0.2909 | 0.9278 | 855 | 0.2847 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
235
+ | 0.3266 | 0.9333 | 860 | 0.2837 | 0.8944 | 0.8481 | 0.67 | 0.7486 |
236
+ | 0.2051 | 0.9387 | 865 | 0.2838 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
237
+ | 0.2648 | 0.9441 | 870 | 0.2839 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
238
+ | 0.3606 | 0.9495 | 875 | 0.2837 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
239
+ | 0.2971 | 0.9550 | 880 | 0.2833 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
240
+ | 0.282 | 0.9604 | 885 | 0.2826 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
241
+ | 0.3994 | 0.9658 | 890 | 0.2838 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
242
+ | 0.2317 | 0.9712 | 895 | 0.2845 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
243
+ | 0.2784 | 0.9767 | 900 | 0.2836 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
244
+ | 0.3679 | 0.9821 | 905 | 0.2828 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
245
+ | 0.2623 | 0.9875 | 910 | 0.2839 | 0.8967 | 0.8590 | 0.67 | 0.7528 |
246
+ | 0.2232 | 0.9929 | 915 | 0.2838 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
247
+ | 0.3868 | 0.9984 | 920 | 0.2838 | 0.8991 | 0.8701 | 0.67 | 0.7571 |
248
+
249
+
250
+ ### Framework versions
251
+
252
+ - PEFT 0.12.0
253
+ - Transformers 4.46.0
254
+ - Pytorch 2.4.0+cu118
255
+ - Datasets 3.0.0
256
+ - Tokenizers 0.20.1
adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "peiyi9979/math-shepherd-mistral-7b-prm",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
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": 32,
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": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "v_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdbb0534e551d067ef4fac54a945ce34c41d742ba738f5f817cbe366560139b7
3
+ size 27280152
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": true,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": true,
35
+ "model_max_length": 1000000000000000019884624838656,
36
+ "pad_token": "</s>",
37
+ "sp_model_kwargs": {},
38
+ "spaces_between_special_tokens": false,
39
+ "tokenizer_class": "LlamaTokenizer",
40
+ "unk_token": "<unk>",
41
+ "use_default_system_prompt": true
42
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:384f774e3ac741d692dc6b6c2c365150e09b16a0ffd73a5a577b2f73701e3113
3
+ size 5304