End of training
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README.md
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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## Model description
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@@ -45,206 +45,206 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
|
|
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| 14 |
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| 15 |
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
|
| 16 |
It achieves the following results on the evaluation set:
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| 17 |
+
- Loss: 0.0045
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
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| Training Loss | Epoch | Step | Validation Loss |
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| 47 |
|:-------------:|:-----:|:----:|:---------------:|
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| 48 |
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| 2.3208 | 1.0 | 6 | 1.7801 |
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| 1.6167 | 2.0 | 12 | 1.4190 |
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| 1.3790 | 3.0 | 18 | 1.3787 |
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| 1.2999 | 4.0 | 24 | 1.2406 |
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| 1.1367 | 5.0 | 30 | 1.1432 |
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| 1.0477 | 6.0 | 36 | 0.9924 |
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| 0.9550 | 7.0 | 42 | 0.9145 |
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| 0.8568 | 8.0 | 48 | 0.8587 |
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| 0.8161 | 9.0 | 54 | 0.8325 |
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| 0.8154 | 10.0 | 60 | 0.8123 |
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| 0.7740 | 11.0 | 66 | 0.8280 |
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| 0.7357 | 12.0 | 72 | 0.7068 |
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| 0.6664 | 13.0 | 78 | 0.6546 |
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| 0.6176 | 14.0 | 84 | 0.6074 |
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| 0.5990 | 15.0 | 90 | 0.6042 |
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| 0.5777 | 16.0 | 96 | 0.6093 |
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| 0.5371 | 17.0 | 102 | 0.5074 |
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| 0.4953 | 18.0 | 108 | 0.5070 |
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| 0.4999 | 19.0 | 114 | 0.5536 |
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| 0.5230 | 20.0 | 120 | 0.5276 |
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| 0.4750 | 21.0 | 126 | 0.5726 |
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| 0.5112 | 22.0 | 132 | 0.4879 |
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| 0.4367 | 23.0 | 138 | 0.4797 |
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| 0.4526 | 24.0 | 144 | 0.4519 |
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| 0.4212 | 25.0 | 150 | 0.3937 |
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| 0.4345 | 26.0 | 156 | 0.4556 |
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| 0.4463 | 27.0 | 162 | 0.4319 |
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| 0.4206 | 28.0 | 168 | 0.4294 |
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| 0.4098 | 29.0 | 174 | 0.4353 |
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| 0.4184 | 30.0 | 180 | 0.3689 |
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| 0.3558 | 31.0 | 186 | 0.3611 |
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| 0.3784 | 32.0 | 192 | 0.3562 |
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| 0.3416 | 33.0 | 198 | 0.3633 |
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| 0.3587 | 34.0 | 204 | 0.2998 |
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| 0.3020 | 35.0 | 210 | 0.2746 |
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| 0.2803 | 36.0 | 216 | 0.2586 |
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| 0.2968 | 37.0 | 222 | 0.2734 |
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| 0.2725 | 38.0 | 228 | 0.3669 |
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| 0.3261 | 39.0 | 234 | 0.2672 |
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| 0.2693 | 40.0 | 240 | 0.2603 |
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| 0.3001 | 41.0 | 246 | 0.2625 |
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| 0.2979 | 42.0 | 252 | 0.2724 |
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| 0.2688 | 43.0 | 258 | 0.2563 |
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| 0.2705 | 44.0 | 264 | 0.2068 |
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| 0.2271 | 45.0 | 270 | 0.1919 |
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| 0.2181 | 46.0 | 276 | 0.2369 |
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| 0.2450 | 47.0 | 282 | 0.2518 |
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| 0.2451 | 48.0 | 288 | 0.2630 |
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| 0.3311 | 49.0 | 294 | 0.1948 |
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| 0.2112 | 50.0 | 300 | 0.2220 |
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| 0.2408 | 51.0 | 306 | 0.2290 |
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| 0.2484 | 52.0 | 312 | 0.2001 |
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| 0.2117 | 53.0 | 318 | 0.2169 |
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| 0.2254 | 54.0 | 324 | 0.1979 |
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| 0.2088 | 55.0 | 330 | 0.1925 |
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| 0.2027 | 56.0 | 336 | 0.1754 |
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| 0.1910 | 57.0 | 342 | 0.1389 |
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| 0.1745 | 58.0 | 348 | 0.1300 |
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| 0.1657 | 59.0 | 354 | 0.1269 |
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| 0.1711 | 60.0 | 360 | 0.1430 |
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| 0.1848 | 61.0 | 366 | 0.1232 |
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| 0.1501 | 62.0 | 372 | 0.1050 |
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| 0.1295 | 63.0 | 378 | 0.0914 |
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| 0.1303 | 64.0 | 384 | 0.0986 |
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| 0.1140 | 65.0 | 390 | 0.0799 |
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| 0.1123 | 66.0 | 396 | 0.0995 |
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| 0.1164 | 67.0 | 402 | 0.0903 |
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| 0.1110 | 68.0 | 408 | 0.0899 |
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| 0.1117 | 69.0 | 414 | 0.0973 |
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| 0.1011 | 70.0 | 420 | 0.1054 |
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| 0.1133 | 71.0 | 426 | 0.0858 |
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| 0.0953 | 72.0 | 432 | 0.1040 |
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| 0.1117 | 73.0 | 438 | 0.1025 |
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| 0.1328 | 74.0 | 444 | 0.0957 |
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| 0.1041 | 75.0 | 450 | 0.0897 |
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| 0.1003 | 76.0 | 456 | 0.0712 |
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| 0.0894 | 77.0 | 462 | 0.0774 |
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| 0.0899 | 78.0 | 468 | 0.0680 |
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| 0.0873 | 79.0 | 474 | 0.0749 |
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| 0.1007 | 80.0 | 480 | 0.0679 |
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| 0.0873 | 81.0 | 486 | 0.0692 |
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| 0.0876 | 82.0 | 492 | 0.0897 |
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| 0.1011 | 83.0 | 498 | 0.0743 |
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| 0.0887 | 84.0 | 504 | 0.0714 |
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| 0.0938 | 85.0 | 510 | 0.0623 |
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| 0.0806 | 86.0 | 516 | 0.0704 |
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| 0.0914 | 87.0 | 522 | 0.0540 |
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| 0.0665 | 88.0 | 528 | 0.0421 |
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| 0.0664 | 89.0 | 534 | 0.0429 |
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| 0.0671 | 90.0 | 540 | 0.0366 |
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| 0.0520 | 91.0 | 546 | 0.0301 |
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| 139 |
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| 0.0499 | 92.0 | 552 | 0.0278 |
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| 0.0473 | 93.0 | 558 | 0.0305 |
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| 0.0395 | 94.0 | 564 | 0.0244 |
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| 0.0394 | 95.0 | 570 | 0.0589 |
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| 0.0686 | 96.0 | 576 | 0.0294 |
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| 0.0399 | 97.0 | 582 | 0.0388 |
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| 0.0385 | 98.0 | 588 | 0.0144 |
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| 0.0362 | 99.0 | 594 | 0.0128 |
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| 0.0339 | 100.0 | 600 | 0.0140 |
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| 148 |
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| 0.0280 | 101.0 | 606 | 0.0172 |
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| 149 |
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| 0.0227 | 102.0 | 612 | 0.0222 |
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| 0.0478 | 103.0 | 618 | 0.0100 |
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| 151 |
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| 0.0211 | 104.0 | 624 | 0.0095 |
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| 152 |
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| 0.0184 | 105.0 | 630 | 0.0078 |
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| 0.0156 | 106.0 | 636 | 0.0088 |
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| 0.0149 | 107.0 | 642 | 0.0067 |
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| 0.0113 | 108.0 | 648 | 0.0059 |
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| 156 |
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| 0.0098 | 109.0 | 654 | 0.0052 |
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| 157 |
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| 0.0098 | 110.0 | 660 | 0.0076 |
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| 158 |
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| 0.0098 | 111.0 | 666 | 0.0065 |
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| 159 |
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| 0.0075 | 112.0 | 672 | 0.0072 |
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| 160 |
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| 0.0075 | 113.0 | 678 | 0.0054 |
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| 161 |
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| 0.0065 | 114.0 | 684 | 0.0069 |
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| 162 |
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| 0.0112 | 115.0 | 690 | 0.0062 |
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| 163 |
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| 0.0144 | 116.0 | 696 | 0.0057 |
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| 164 |
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| 0.0298 | 117.0 | 702 | 0.0093 |
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| 165 |
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| 0.0179 | 118.0 | 708 | 0.0088 |
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| 166 |
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| 0.0140 | 119.0 | 714 | 0.0071 |
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| 167 |
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| 0.0086 | 120.0 | 720 | 0.0060 |
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| 168 |
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| 0.0076 | 121.0 | 726 | 0.0035 |
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| 169 |
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| 0.0066 | 122.0 | 732 | 0.0040 |
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| 170 |
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| 0.0057 | 123.0 | 738 | 0.0036 |
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| 171 |
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| 0.0052 | 124.0 | 744 | 0.0028 |
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| 172 |
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| 0.0050 | 125.0 | 750 | 0.0034 |
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| 173 |
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| 0.0055 | 126.0 | 756 | 0.0076 |
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| 174 |
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| 0.0060 | 127.0 | 762 | 0.0029 |
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| 175 |
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| 0.0074 | 128.0 | 768 | 0.0040 |
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| 176 |
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| 0.0117 | 129.0 | 774 | 0.0065 |
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| 177 |
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| 0.0073 | 130.0 | 780 | 0.0056 |
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| 178 |
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| 0.0061 | 131.0 | 786 | 0.0048 |
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| 179 |
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| 0.0048 | 132.0 | 792 | 0.0050 |
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| 0.0039 | 133.0 | 798 | 0.0043 |
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| 0.0039 | 134.0 | 804 | 0.0042 |
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| 182 |
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| 0.0040 | 135.0 | 810 | 0.0049 |
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| 183 |
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| 0.0042 | 136.0 | 816 | 0.0047 |
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| 184 |
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| 0.0034 | 137.0 | 822 | 0.0040 |
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| 185 |
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| 0.0033 | 138.0 | 828 | 0.0038 |
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| 186 |
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| 0.0042 | 139.0 | 834 | 0.0037 |
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| 187 |
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| 0.0105 | 140.0 | 840 | 0.0043 |
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| 188 |
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| 0.0118 | 141.0 | 846 | 0.0042 |
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| 189 |
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| 0.0101 | 142.0 | 852 | 0.0026 |
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| 190 |
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| 0.0102 | 143.0 | 858 | 0.0049 |
|
| 191 |
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| 0.0087 | 144.0 | 864 | 0.0048 |
|
| 192 |
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| 0.0112 | 145.0 | 870 | 0.0039 |
|
| 193 |
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| 0.0081 | 146.0 | 876 | 0.0039 |
|
| 194 |
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| 0.0109 | 147.0 | 882 | 0.0033 |
|
| 195 |
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| 0.0071 | 148.0 | 888 | 0.0029 |
|
| 196 |
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| 0.0035 | 149.0 | 894 | 0.0039 |
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| 197 |
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| 0.0039 | 150.0 | 900 | 0.0035 |
|
| 198 |
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| 0.0034 | 151.0 | 906 | 0.0033 |
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| 199 |
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| 0.0027 | 152.0 | 912 | 0.0035 |
|
| 200 |
+
| 0.0030 | 153.0 | 918 | 0.0050 |
|
| 201 |
+
| 0.0032 | 154.0 | 924 | 0.0073 |
|
| 202 |
+
| 0.0033 | 155.0 | 930 | 0.0067 |
|
| 203 |
+
| 0.0023 | 156.0 | 936 | 0.0051 |
|
| 204 |
+
| 0.0023 | 157.0 | 942 | 0.0038 |
|
| 205 |
+
| 0.0025 | 158.0 | 948 | 0.0027 |
|
| 206 |
+
| 0.0022 | 159.0 | 954 | 0.0031 |
|
| 207 |
+
| 0.0025 | 160.0 | 960 | 0.0037 |
|
| 208 |
+
| 0.0045 | 161.0 | 966 | 0.0035 |
|
| 209 |
+
| 0.0049 | 162.0 | 972 | 0.0053 |
|
| 210 |
+
| 0.0045 | 163.0 | 978 | 0.0046 |
|
| 211 |
+
| 0.0041 | 164.0 | 984 | 0.0054 |
|
| 212 |
+
| 0.0032 | 165.0 | 990 | 0.0055 |
|
| 213 |
+
| 0.0026 | 166.0 | 996 | 0.0049 |
|
| 214 |
+
| 0.0031 | 167.0 | 1002 | 0.0044 |
|
| 215 |
+
| 0.0043 | 168.0 | 1008 | 0.0039 |
|
| 216 |
+
| 0.0048 | 169.0 | 1014 | 0.0042 |
|
| 217 |
+
| 0.0051 | 170.0 | 1020 | 0.0030 |
|
| 218 |
+
| 0.0045 | 171.0 | 1026 | 0.0072 |
|
| 219 |
+
| 0.0080 | 172.0 | 1032 | 0.0047 |
|
| 220 |
+
| 0.0033 | 173.0 | 1038 | 0.0039 |
|
| 221 |
+
| 0.0034 | 174.0 | 1044 | 0.0043 |
|
| 222 |
+
| 0.0026 | 175.0 | 1050 | 0.0047 |
|
| 223 |
+
| 0.0026 | 176.0 | 1056 | 0.0049 |
|
| 224 |
+
| 0.0027 | 177.0 | 1062 | 0.0047 |
|
| 225 |
+
| 0.0021 | 178.0 | 1068 | 0.0044 |
|
| 226 |
+
| 0.0018 | 179.0 | 1074 | 0.0044 |
|
| 227 |
+
| 0.0019 | 180.0 | 1080 | 0.0042 |
|
| 228 |
+
| 0.0021 | 181.0 | 1086 | 0.0047 |
|
| 229 |
+
| 0.0020 | 182.0 | 1092 | 0.0054 |
|
| 230 |
+
| 0.0017 | 183.0 | 1098 | 0.0056 |
|
| 231 |
+
| 0.0018 | 184.0 | 1104 | 0.0053 |
|
| 232 |
+
| 0.0019 | 185.0 | 1110 | 0.0049 |
|
| 233 |
+
| 0.0016 | 186.0 | 1116 | 0.0048 |
|
| 234 |
+
| 0.0019 | 187.0 | 1122 | 0.0048 |
|
| 235 |
+
| 0.0020 | 188.0 | 1128 | 0.0047 |
|
| 236 |
+
| 0.0015 | 189.0 | 1134 | 0.0045 |
|
| 237 |
+
| 0.0024 | 190.0 | 1140 | 0.0045 |
|
| 238 |
+
| 0.0013 | 191.0 | 1146 | 0.0045 |
|
| 239 |
+
| 0.0017 | 192.0 | 1152 | 0.0046 |
|
| 240 |
+
| 0.0018 | 193.0 | 1158 | 0.0047 |
|
| 241 |
+
| 0.0013 | 194.0 | 1164 | 0.0047 |
|
| 242 |
+
| 0.0014 | 195.0 | 1170 | 0.0047 |
|
| 243 |
+
| 0.0014 | 196.0 | 1176 | 0.0047 |
|
| 244 |
+
| 0.0016 | 197.0 | 1182 | 0.0046 |
|
| 245 |
+
| 0.0013 | 198.0 | 1188 | 0.0046 |
|
| 246 |
+
| 0.0016 | 199.0 | 1194 | 0.0045 |
|
| 247 |
+
| 0.0016 | 200.0 | 1200 | 0.0045 |
|
| 248 |
|
| 249 |
|
| 250 |
### Framework versions
|