Hugging Face's logo

mtzig
/
v3b_mistral_lora

PEFT
Safetensors
Generated from Trainer
Model card Files Community
mtzig commited on
Commit
3920494
•
1 Parent(s): ff01b2b

Model save

Browse files
Files changed (2) hide show
  1. README.md +111 -111
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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: 0.0126
24
- - Accuracy: 0.9936
25
- - Precision: 0.8793
26
- - Recall: 0.9808
27
- - F1: 0.9273
28
 
29
  ## Model description
30
 
@@ -61,112 +61,112 @@ The following hyperparameters were used during training:
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
63
  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
64
- | No log | 0 | 0 | 0.3911 | 0.9098 | 0.2222 | 0.4615 | 0.3 |
65
- | 0.7904 | 0.0095 | 20 | 0.3855 | 0.9163 | 0.24 | 0.4615 | 0.3158 |
66
- | 0.6496 | 0.0190 | 40 | 0.3578 | 0.9300 | 0.2603 | 0.3654 | 0.304 |
67
- | 0.5209 | 0.0284 | 60 | 0.3011 | 0.9469 | 0.2941 | 0.1923 | 0.2326 |
68
- | 0.482 | 0.0379 | 80 | 0.2597 | 0.9525 | 0.3478 | 0.1538 | 0.2133 |
69
- | 0.4165 | 0.0474 | 100 | 0.2602 | 0.9549 | 0.4524 | 0.3654 | 0.4043 |
70
- | 0.5055 | 0.0569 | 120 | 0.2183 | 0.9614 | 0.5345 | 0.5962 | 0.5636 |
71
- | 0.2795 | 0.0664 | 140 | 0.1609 | 0.9541 | 0.4699 | 0.75 | 0.5778 |
72
- | 0.3314 | 0.0758 | 160 | 0.1574 | 0.9316 | 0.3659 | 0.8654 | 0.5143 |
73
- | 0.257 | 0.0853 | 180 | 0.1001 | 0.9597 | 0.5119 | 0.8269 | 0.6324 |
74
- | 0.3089 | 0.0948 | 200 | 0.0747 | 0.9750 | 0.6567 | 0.8462 | 0.7395 |
75
- | 0.329 | 0.1043 | 220 | 0.0722 | 0.9742 | 0.6471 | 0.8462 | 0.7333 |
76
- | 0.4088 | 0.1138 | 240 | 0.0581 | 0.9815 | 0.7458 | 0.8462 | 0.7928 |
77
- | 0.2598 | 0.1233 | 260 | 0.0531 | 0.9815 | 0.7458 | 0.8462 | 0.7928 |
78
- | 0.1978 | 0.1327 | 280 | 0.0428 | 0.9863 | 0.8070 | 0.8846 | 0.8440 |
79
- | 0.1661 | 0.1422 | 300 | 0.0452 | 0.9839 | 0.75 | 0.9231 | 0.8276 |
80
- | 0.2944 | 0.1517 | 320 | 0.0511 | 0.9815 | 0.7101 | 0.9423 | 0.8099 |
81
- | 0.2463 | 0.1612 | 340 | 0.0379 | 0.9847 | 0.7463 | 0.9615 | 0.8403 |
82
- | 0.1767 | 0.1707 | 360 | 0.0379 | 0.9871 | 0.7812 | 0.9615 | 0.8621 |
83
- | 0.1581 | 0.1801 | 380 | 0.0315 | 0.9903 | 0.8571 | 0.9231 | 0.8889 |
84
- | 0.1162 | 0.1896 | 400 | 0.0378 | 0.9863 | 0.7692 | 0.9615 | 0.8547 |
85
- | 0.1442 | 0.1991 | 420 | 0.0395 | 0.9855 | 0.7656 | 0.9423 | 0.8448 |
86
- | 0.1957 | 0.2086 | 440 | 0.0343 | 0.9903 | 0.8333 | 0.9615 | 0.8929 |
87
- | 0.2593 | 0.2181 | 460 | 0.0308 | 0.9919 | 0.875 | 0.9423 | 0.9074 |
88
- | 0.1137 | 0.2275 | 480 | 0.0236 | 0.9936 | 0.8929 | 0.9615 | 0.9259 |
89
- | 0.2213 | 0.2370 | 500 | 0.0264 | 0.9879 | 0.7846 | 0.9808 | 0.8718 |
90
- | 0.2092 | 0.2465 | 520 | 0.0336 | 0.9895 | 0.8197 | 0.9615 | 0.8850 |
91
- | 0.2247 | 0.2560 | 540 | 0.0287 | 0.9928 | 0.8909 | 0.9423 | 0.9159 |
92
- | 0.2684 | 0.2655 | 560 | 0.0286 | 0.9919 | 0.8621 | 0.9615 | 0.9091 |
93
- | 0.1485 | 0.2749 | 580 | 0.0354 | 0.9895 | 0.8197 | 0.9615 | 0.8850 |
94
- | 0.1168 | 0.2844 | 600 | 0.0274 | 0.9928 | 0.8909 | 0.9423 | 0.9159 |
95
- | 0.1899 | 0.2939 | 620 | 0.0262 | 0.9911 | 0.8475 | 0.9615 | 0.9009 |
96
- | 0.1626 | 0.3034 | 640 | 0.0274 | 0.9895 | 0.8197 | 0.9615 | 0.8850 |
97
- | 0.1919 | 0.3129 | 660 | 0.0435 | 0.9847 | 0.7324 | 1.0 | 0.8455 |
98
- | 0.1953 | 0.3224 | 680 | 0.0215 | 0.9936 | 0.8929 | 0.9615 | 0.9259 |
99
- | 0.1978 | 0.3318 | 700 | 0.0260 | 0.9903 | 0.8333 | 0.9615 | 0.8929 |
100
- | 0.311 | 0.3413 | 720 | 0.0168 | 0.9944 | 0.9091 | 0.9615 | 0.9346 |
101
- | 0.226 | 0.3508 | 740 | 0.0166 | 0.9928 | 0.8525 | 1.0 | 0.9204 |
102
- | 0.1394 | 0.3603 | 760 | 0.0195 | 0.9919 | 0.85 | 0.9808 | 0.9107 |
103
- | 0.1702 | 0.3698 | 780 | 0.0358 | 0.9855 | 0.75 | 0.9808 | 0.85 |
104
- | 0.1413 | 0.3792 | 800 | 0.0269 | 0.9911 | 0.8361 | 0.9808 | 0.9027 |
105
- | 0.2015 | 0.3887 | 820 | 0.0238 | 0.9911 | 0.8361 | 0.9808 | 0.9027 |
106
- | 0.1752 | 0.3982 | 840 | 0.0253 | 0.9895 | 0.8 | 1.0 | 0.8889 |
107
- | 0.212 | 0.4077 | 860 | 0.0250 | 0.9911 | 0.8475 | 0.9615 | 0.9009 |
108
- | 0.1556 | 0.4172 | 880 | 0.0247 | 0.9928 | 0.8909 | 0.9423 | 0.9159 |
109
- | 0.1495 | 0.4266 | 900 | 0.0141 | 0.9919 | 0.85 | 0.9808 | 0.9107 |
110
- | 0.1666 | 0.4361 | 920 | 0.0187 | 0.9936 | 0.9074 | 0.9423 | 0.9245 |
111
- | 0.1475 | 0.4456 | 940 | 0.0199 | 0.9911 | 0.8361 | 0.9808 | 0.9027 |
112
- | 0.1459 | 0.4551 | 960 | 0.0166 | 0.9919 | 0.8387 | 1.0 | 0.9123 |
113
- | 0.1264 | 0.4646 | 980 | 0.0155 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
114
- | 0.1389 | 0.4740 | 1000 | 0.0152 | 0.9944 | 0.9091 | 0.9615 | 0.9346 |
115
- | 0.1433 | 0.4835 | 1020 | 0.0147 | 0.9944 | 0.9091 | 0.9615 | 0.9346 |
116
- | 0.1389 | 0.4930 | 1040 | 0.0126 | 0.9968 | 0.9444 | 0.9808 | 0.9623 |
117
- | 0.1452 | 0.5025 | 1060 | 0.0230 | 0.9903 | 0.8125 | 1.0 | 0.8966 |
118
- | 0.1623 | 0.5120 | 1080 | 0.0128 | 0.9952 | 0.9259 | 0.9615 | 0.9434 |
119
- | 0.1179 | 0.5215 | 1100 | 0.0156 | 0.9952 | 0.8966 | 1.0 | 0.9455 |
120
- | 0.1256 | 0.5309 | 1120 | 0.0175 | 0.9952 | 0.9107 | 0.9808 | 0.9444 |
121
- | 0.1536 | 0.5404 | 1140 | 0.0221 | 0.9919 | 0.85 | 0.9808 | 0.9107 |
122
- | 0.1873 | 0.5499 | 1160 | 0.0234 | 0.9903 | 0.8125 | 1.0 | 0.8966 |
123
- | 0.1234 | 0.5594 | 1180 | 0.0174 | 0.9944 | 0.9091 | 0.9615 | 0.9346 |
124
- | 0.205 | 0.5689 | 1200 | 0.0162 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
125
- | 0.1975 | 0.5783 | 1220 | 0.0155 | 0.9944 | 0.9091 | 0.9615 | 0.9346 |
126
- | 0.1302 | 0.5878 | 1240 | 0.0131 | 0.9960 | 0.9123 | 1.0 | 0.9541 |
127
- | 0.2996 | 0.5973 | 1260 | 0.0172 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
128
- | 0.1381 | 0.6068 | 1280 | 0.0145 | 0.9936 | 0.8929 | 0.9615 | 0.9259 |
129
- | 0.1559 | 0.6163 | 1300 | 0.0142 | 0.9936 | 0.8929 | 0.9615 | 0.9259 |
130
- | 0.1588 | 0.6257 | 1320 | 0.0194 | 0.9911 | 0.8361 | 0.9808 | 0.9027 |
131
- | 0.1101 | 0.6352 | 1340 | 0.0149 | 0.9936 | 0.8929 | 0.9615 | 0.9259 |
132
- | 0.1533 | 0.6447 | 1360 | 0.0152 | 0.9936 | 0.8667 | 1.0 | 0.9286 |
133
- | 0.1567 | 0.6542 | 1380 | 0.0139 | 0.9928 | 0.8772 | 0.9615 | 0.9174 |
134
- | 0.1771 | 0.6637 | 1400 | 0.0176 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
135
- | 0.1531 | 0.6731 | 1420 | 0.0142 | 0.9928 | 0.8772 | 0.9615 | 0.9174 |
136
- | 0.1366 | 0.6826 | 1440 | 0.0157 | 0.9928 | 0.8525 | 1.0 | 0.9204 |
137
- | 0.1597 | 0.6921 | 1460 | 0.0149 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
138
- | 0.1527 | 0.7016 | 1480 | 0.0156 | 0.9919 | 0.8387 | 1.0 | 0.9123 |
139
- | 0.2199 | 0.7111 | 1500 | 0.0137 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
140
- | 0.2215 | 0.7205 | 1520 | 0.0140 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
141
- | 0.199 | 0.7300 | 1540 | 0.0167 | 0.9936 | 0.8667 | 1.0 | 0.9286 |
142
- | 0.1505 | 0.7395 | 1560 | 0.0106 | 0.9960 | 0.9273 | 0.9808 | 0.9533 |
143
- | 0.2082 | 0.7490 | 1580 | 0.0146 | 0.9928 | 0.8525 | 1.0 | 0.9204 |
144
- | 0.1431 | 0.7585 | 1600 | 0.0108 | 0.9944 | 0.8947 | 0.9808 | 0.9358 |
145
- | 0.1388 | 0.7680 | 1620 | 0.0125 | 0.9952 | 0.8966 | 1.0 | 0.9455 |
146
- | 0.1221 | 0.7774 | 1640 | 0.0100 | 0.9960 | 0.9273 | 0.9808 | 0.9533 |
147
- | 0.1571 | 0.7869 | 1660 | 0.0108 | 0.9960 | 0.9273 | 0.9808 | 0.9533 |
148
- | 0.1472 | 0.7964 | 1680 | 0.0115 | 0.9944 | 0.8947 | 0.9808 | 0.9358 |
149
- | 0.1236 | 0.8059 | 1700 | 0.0121 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
150
- | 0.1477 | 0.8154 | 1720 | 0.0113 | 0.9952 | 0.9107 | 0.9808 | 0.9444 |
151
- | 0.1781 | 0.8248 | 1740 | 0.0139 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
152
- | 0.1517 | 0.8343 | 1760 | 0.0129 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
153
- | 0.1811 | 0.8438 | 1780 | 0.0123 | 0.9944 | 0.8947 | 0.9808 | 0.9358 |
154
- | 0.1592 | 0.8533 | 1800 | 0.0136 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
155
- | 0.0799 | 0.8628 | 1820 | 0.0149 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
156
- | 0.1294 | 0.8722 | 1840 | 0.0130 | 0.9944 | 0.8814 | 1.0 | 0.9369 |
157
- | 0.2076 | 0.8817 | 1860 | 0.0121 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
158
- | 0.1628 | 0.8912 | 1880 | 0.0121 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
159
- | 0.156 | 0.9007 | 1900 | 0.0128 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
160
- | 0.0762 | 0.9102 | 1920 | 0.0128 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
161
- | 0.1372 | 0.9196 | 1940 | 0.0124 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
162
- | 0.0837 | 0.9291 | 1960 | 0.0123 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
163
- | 0.1353 | 0.9386 | 1980 | 0.0126 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
164
- | 0.1914 | 0.9481 | 2000 | 0.0127 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
165
- | 0.1072 | 0.9576 | 2020 | 0.0127 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
166
- | 0.2165 | 0.9671 | 2040 | 0.0129 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
167
- | 0.1417 | 0.9765 | 2060 | 0.0127 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
168
- | 0.101 | 0.9860 | 2080 | 0.0126 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
169
- | 0.2136 | 0.9955 | 2100 | 0.0126 | 0.9936 | 0.8793 | 0.9808 | 0.9273 |
170
 
171
 
172
  ### Framework versions
 
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: 0.2975
24
+ - Accuracy: 0.8647
25
+ - Precision: 0.8701
26
+ - Recall: 0.6087
27
+ - F1: 0.7163
28
 
29
  ## Model description
30
 
 
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
63
  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
64
+ | No log | 0 | 0 | 0.6026 | 0.7339 | 0.6 | 0.1542 | 0.2453 |
65
+ | 0.5256 | 0.0095 | 20 | 0.6015 | 0.7350 | 0.6061 | 0.1581 | 0.2508 |
66
+ | 0.6118 | 0.0189 | 40 | 0.5988 | 0.7361 | 0.6087 | 0.1660 | 0.2609 |
67
+ | 0.5575 | 0.0284 | 60 | 0.5849 | 0.7450 | 0.6456 | 0.2016 | 0.3072 |
68
+ | 0.6385 | 0.0378 | 80 | 0.5648 | 0.7461 | 0.5938 | 0.3004 | 0.3990 |
69
+ | 0.4791 | 0.0473 | 100 | 0.5396 | 0.7661 | 0.6694 | 0.3281 | 0.4403 |
70
+ | 0.3593 | 0.0567 | 120 | 0.5030 | 0.7794 | 0.7109 | 0.3597 | 0.4777 |
71
+ | 0.4435 | 0.0662 | 140 | 0.4716 | 0.7794 | 0.6467 | 0.4704 | 0.5446 |
72
+ | 0.3899 | 0.0757 | 160 | 0.4403 | 0.7938 | 0.7519 | 0.3953 | 0.5181 |
73
+ | 0.3429 | 0.0851 | 180 | 0.4055 | 0.8160 | 0.7771 | 0.4822 | 0.5951 |
74
+ | 0.3529 | 0.0946 | 200 | 0.3847 | 0.8182 | 0.7405 | 0.5415 | 0.6256 |
75
+ | 0.36 | 0.1040 | 220 | 0.3824 | 0.8182 | 0.7697 | 0.5020 | 0.6077 |
76
+ | 0.2875 | 0.1135 | 240 | 0.3578 | 0.8226 | 0.7385 | 0.5692 | 0.6429 |
77
+ | 0.3237 | 0.1229 | 260 | 0.3457 | 0.8426 | 0.7342 | 0.6877 | 0.7102 |
78
+ | 0.2309 | 0.1324 | 280 | 0.3626 | 0.8204 | 0.8527 | 0.4348 | 0.5759 |
79
+ | 0.2843 | 0.1418 | 300 | 0.3511 | 0.8326 | 0.8493 | 0.4901 | 0.6216 |
80
+ | 0.2694 | 0.1513 | 320 | 0.3487 | 0.8337 | 0.8411 | 0.5020 | 0.6287 |
81
+ | 0.3854 | 0.1608 | 340 | 0.3573 | 0.8193 | 0.8358 | 0.4427 | 0.5788 |
82
+ | 0.3062 | 0.1702 | 360 | 0.3262 | 0.8470 | 0.7778 | 0.6364 | 0.7 |
83
+ | 0.2861 | 0.1797 | 380 | 0.3308 | 0.8459 | 0.8202 | 0.5771 | 0.6775 |
84
+ | 0.2808 | 0.1891 | 400 | 0.3584 | 0.8337 | 0.8931 | 0.4625 | 0.6094 |
85
+ | 0.2716 | 0.1986 | 420 | 0.3312 | 0.8525 | 0.8614 | 0.5652 | 0.6826 |
86
+ | 0.3696 | 0.2080 | 440 | 0.3196 | 0.8548 | 0.8020 | 0.6403 | 0.7121 |
87
+ | 0.1911 | 0.2175 | 460 | 0.3436 | 0.8426 | 0.8725 | 0.5138 | 0.6468 |
88
+ | 0.2548 | 0.2270 | 480 | 0.3311 | 0.8525 | 0.8704 | 0.5573 | 0.6795 |
89
+ | 0.2501 | 0.2364 | 500 | 0.3237 | 0.8481 | 0.8671 | 0.5415 | 0.6667 |
90
+ | 0.2936 | 0.2459 | 520 | 0.3496 | 0.8359 | 0.8832 | 0.4783 | 0.6205 |
91
+ | 0.2012 | 0.2553 | 540 | 0.3362 | 0.8404 | 0.8516 | 0.5217 | 0.6471 |
92
+ | 0.3295 | 0.2648 | 560 | 0.3415 | 0.8492 | 0.8462 | 0.5652 | 0.6777 |
93
+ | 0.2859 | 0.2742 | 580 | 0.3370 | 0.8437 | 0.8733 | 0.5178 | 0.6501 |
94
+ | 0.2655 | 0.2837 | 600 | 0.3248 | 0.8492 | 0.8343 | 0.5771 | 0.6822 |
95
+ | 0.2646 | 0.2931 | 620 | 0.3290 | 0.8481 | 0.8625 | 0.5455 | 0.6683 |
96
+ | 0.2706 | 0.3026 | 640 | 0.3193 | 0.8481 | 0.8222 | 0.5850 | 0.6836 |
97
+ | 0.2074 | 0.3121 | 660 | 0.3506 | 0.8470 | 0.8912 | 0.5178 | 0.655 |
98
+ | 0.2825 | 0.3215 | 680 | 0.3523 | 0.8282 | 0.8828 | 0.4466 | 0.5932 |
99
+ | 0.2718 | 0.3310 | 700 | 0.3708 | 0.8271 | 0.9008 | 0.4308 | 0.5829 |
100
+ | 0.2172 | 0.3404 | 720 | 0.3735 | 0.8237 | 0.9123 | 0.4111 | 0.5668 |
101
+ | 0.1876 | 0.3499 | 740 | 0.3519 | 0.8392 | 0.9154 | 0.4704 | 0.6214 |
102
+ | 0.2788 | 0.3593 | 760 | 0.3574 | 0.8348 | 0.8611 | 0.4901 | 0.6247 |
103
+ | 0.305 | 0.3688 | 780 | 0.3154 | 0.8581 | 0.8492 | 0.6008 | 0.7037 |
104
+ | 0.2726 | 0.3783 | 800 | 0.3149 | 0.8459 | 0.875 | 0.5257 | 0.6568 |
105
+ | 0.2819 | 0.3877 | 820 | 0.3015 | 0.8581 | 0.7880 | 0.6759 | 0.7277 |
106
+ | 0.2596 | 0.3972 | 840 | 0.3099 | 0.8548 | 0.7629 | 0.6996 | 0.7299 |
107
+ | 0.185 | 0.4066 | 860 | 0.3079 | 0.8614 | 0.8299 | 0.6364 | 0.7204 |
108
+ | 0.189 | 0.4161 | 880 | 0.3248 | 0.8503 | 0.8882 | 0.5336 | 0.6667 |
109
+ | 0.299 | 0.4255 | 900 | 0.3174 | 0.8525 | 0.8614 | 0.5652 | 0.6826 |
110
+ | 0.199 | 0.4350 | 920 | 0.3387 | 0.8392 | 0.9030 | 0.4783 | 0.6253 |
111
+ | 0.2886 | 0.4444 | 940 | 0.3313 | 0.8381 | 0.8794 | 0.4901 | 0.6294 |
112
+ | 0.2641 | 0.4539 | 960 | 0.3095 | 0.8636 | 0.8611 | 0.6126 | 0.7159 |
113
+ | 0.2316 | 0.4634 | 980 | 0.3030 | 0.8603 | 0.8256 | 0.6364 | 0.7188 |
114
+ | 0.2116 | 0.4728 | 1000 | 0.3230 | 0.8581 | 0.8571 | 0.5929 | 0.7009 |
115
+ | 0.2134 | 0.4823 | 1020 | 0.3040 | 0.8625 | 0.8057 | 0.6719 | 0.7328 |
116
+ | 0.2139 | 0.4917 | 1040 | 0.3280 | 0.8448 | 0.9007 | 0.5020 | 0.6447 |
117
+ | 0.1949 | 0.5012 | 1060 | 0.3116 | 0.8625 | 0.8728 | 0.5968 | 0.7089 |
118
+ | 0.2255 | 0.5106 | 1080 | 0.3195 | 0.8592 | 0.8663 | 0.5889 | 0.7012 |
119
+ | 0.2452 | 0.5201 | 1100 | 0.3464 | 0.8426 | 0.8936 | 0.4980 | 0.6396 |
120
+ | 0.2038 | 0.5296 | 1120 | 0.3167 | 0.8570 | 0.8735 | 0.5731 | 0.6921 |
121
+ | 0.2496 | 0.5390 | 1140 | 0.3181 | 0.8592 | 0.8795 | 0.5771 | 0.6969 |
122
+ | 0.2864 | 0.5485 | 1160 | 0.3201 | 0.8514 | 0.8790 | 0.5455 | 0.6732 |
123
+ | 0.2342 | 0.5579 | 1180 | 0.3140 | 0.8647 | 0.8429 | 0.6364 | 0.7252 |
124
+ | 0.1366 | 0.5674 | 1200 | 0.3010 | 0.8681 | 0.8384 | 0.6561 | 0.7361 |
125
+ | 0.2301 | 0.5768 | 1220 | 0.3011 | 0.8625 | 0.8564 | 0.6126 | 0.7143 |
126
+ | 0.2873 | 0.5863 | 1240 | 0.3049 | 0.8625 | 0.8564 | 0.6126 | 0.7143 |
127
+ | 0.2467 | 0.5957 | 1260 | 0.3107 | 0.8625 | 0.8686 | 0.6008 | 0.7103 |
128
+ | 0.3175 | 0.6052 | 1280 | 0.3120 | 0.8581 | 0.8788 | 0.5731 | 0.6938 |
129
+ | 0.1988 | 0.6147 | 1300 | 0.3020 | 0.8636 | 0.8652 | 0.6087 | 0.7146 |
130
+ | 0.2081 | 0.6241 | 1320 | 0.3175 | 0.8559 | 0.8820 | 0.5613 | 0.6860 |
131
+ | 0.1784 | 0.6336 | 1340 | 0.2959 | 0.8647 | 0.8227 | 0.6601 | 0.7325 |
132
+ | 0.2712 | 0.6430 | 1360 | 0.3133 | 0.8592 | 0.85 | 0.6047 | 0.7067 |
133
+ | 0.2463 | 0.6525 | 1380 | 0.3180 | 0.8548 | 0.8427 | 0.5929 | 0.6961 |
134
+ | 0.3991 | 0.6619 | 1400 | 0.3167 | 0.8625 | 0.8817 | 0.5889 | 0.7062 |
135
+ | 0.154 | 0.6714 | 1420 | 0.3027 | 0.8636 | 0.8652 | 0.6087 | 0.7146 |
136
+ | 0.1944 | 0.6809 | 1440 | 0.3172 | 0.8625 | 0.8772 | 0.5929 | 0.7075 |
137
+ | 0.2434 | 0.6903 | 1460 | 0.3035 | 0.8692 | 0.8325 | 0.6680 | 0.7412 |
138
+ | 0.2346 | 0.6998 | 1480 | 0.3163 | 0.8625 | 0.8728 | 0.5968 | 0.7089 |
139
+ | 0.2532 | 0.7092 | 1500 | 0.2938 | 0.8659 | 0.83 | 0.6561 | 0.7329 |
140
+ | 0.1815 | 0.7187 | 1520 | 0.3156 | 0.8570 | 0.8924 | 0.5573 | 0.6861 |
141
+ | 0.1989 | 0.7281 | 1540 | 0.3187 | 0.8614 | 0.8855 | 0.5810 | 0.7017 |
142
+ | 0.1749 | 0.7376 | 1560 | 0.3169 | 0.8647 | 0.8786 | 0.6008 | 0.7136 |
143
+ | 0.2141 | 0.7470 | 1580 | 0.3046 | 0.8670 | 0.8556 | 0.6324 | 0.7273 |
144
+ | 0.2638 | 0.7565 | 1600 | 0.2976 | 0.8670 | 0.8446 | 0.6443 | 0.7309 |
145
+ | 0.2215 | 0.7660 | 1620 | 0.2927 | 0.8647 | 0.8359 | 0.6443 | 0.7277 |
146
+ | 0.2587 | 0.7754 | 1640 | 0.3179 | 0.8647 | 0.9018 | 0.5810 | 0.7067 |
147
+ | 0.2216 | 0.7849 | 1660 | 0.3046 | 0.8714 | 0.8914 | 0.6166 | 0.7290 |
148
+ | 0.2357 | 0.7943 | 1680 | 0.2967 | 0.8670 | 0.8556 | 0.6324 | 0.7273 |
149
+ | 0.1972 | 0.8038 | 1700 | 0.3002 | 0.8659 | 0.8626 | 0.6206 | 0.7218 |
150
+ | 0.2602 | 0.8132 | 1720 | 0.3001 | 0.8670 | 0.8757 | 0.6126 | 0.7209 |
151
+ | 0.1873 | 0.8227 | 1740 | 0.3046 | 0.8647 | 0.8786 | 0.6008 | 0.7136 |
152
+ | 0.1663 | 0.8322 | 1760 | 0.2978 | 0.8659 | 0.875 | 0.6087 | 0.7179 |
153
+ | 0.363 | 0.8416 | 1780 | 0.2977 | 0.8647 | 0.8743 | 0.6047 | 0.7150 |
154
+ | 0.1727 | 0.8511 | 1800 | 0.2989 | 0.8659 | 0.875 | 0.6087 | 0.7179 |
155
+ | 0.1995 | 0.8605 | 1820 | 0.3006 | 0.8625 | 0.8728 | 0.5968 | 0.7089 |
156
+ | 0.154 | 0.8700 | 1840 | 0.2966 | 0.8681 | 0.8681 | 0.6245 | 0.7264 |
157
+ | 0.1821 | 0.8794 | 1860 | 0.2968 | 0.8670 | 0.8674 | 0.6206 | 0.7235 |
158
+ | 0.2354 | 0.8889 | 1880 | 0.2952 | 0.8670 | 0.8595 | 0.6285 | 0.7260 |
159
+ | 0.3563 | 0.8983 | 1900 | 0.2933 | 0.8670 | 0.8556 | 0.6324 | 0.7273 |
160
+ | 0.2716 | 0.9078 | 1920 | 0.2968 | 0.8647 | 0.8619 | 0.6166 | 0.7189 |
161
+ | 0.1428 | 0.9173 | 1940 | 0.2970 | 0.8636 | 0.8652 | 0.6087 | 0.7146 |
162
+ | 0.2108 | 0.9267 | 1960 | 0.2979 | 0.8659 | 0.8667 | 0.6166 | 0.7206 |
163
+ | 0.1501 | 0.9362 | 1980 | 0.2986 | 0.8670 | 0.8715 | 0.6166 | 0.7222 |
164
+ | 0.2162 | 0.9456 | 2000 | 0.2984 | 0.8625 | 0.8644 | 0.6047 | 0.7116 |
165
+ | 0.3241 | 0.9551 | 2020 | 0.2993 | 0.8647 | 0.8701 | 0.6087 | 0.7163 |
166
+ | 0.2289 | 0.9645 | 2040 | 0.2976 | 0.8659 | 0.8708 | 0.6126 | 0.7193 |
167
+ | 0.1593 | 0.9740 | 2060 | 0.2984 | 0.8636 | 0.8693 | 0.6047 | 0.7133 |
168
+ | 0.2018 | 0.9835 | 2080 | 0.2984 | 0.8647 | 0.8659 | 0.6126 | 0.7176 |
169
+ | 0.2018 | 0.9929 | 2100 | 0.2975 | 0.8647 | 0.8701 | 0.6087 | 0.7163 |
170
 
171
 
172
  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4881c1416e4e60ff3fc448f414717d7cc514f4df723130438bc8a0ac0797bfd4
3
  size 27280152
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08a777560c07fc66ad21b389887874c4176ce85cf70cac56d1b107240e5fc69e
3
  size 27280152