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makhataei
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qa-persian-mdeberta-v3-base-squad2

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deberta-v2
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End of training

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  1. README.md +101 -101
  2. model.safetensors +1 -1
  3. runs/Mar05_00-37-31_Software-AI/events.out.tfevents.1709586452.Software-AI.1931944.4 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ More information needed
34
  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.000125
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
@@ -46,106 +46,106 @@ 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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- | 5.0673 | 1.0 | 17 | 5.1273 |
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- | 5.0954 | 2.0 | 34 | 5.1273 |
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- | 5.074 | 3.0 | 51 | 5.1273 |
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- | 5.0837 | 4.0 | 68 | 5.1273 |
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- | 5.095 | 5.0 | 85 | 5.1273 |
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- | 5.05 | 6.0 | 102 | 5.1273 |
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- | 5.0613 | 7.0 | 119 | 5.1273 |
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- | 5.047 | 8.0 | 136 | 5.1273 |
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- | 5.0554 | 9.0 | 153 | 5.1273 |
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- | 5.0475 | 10.0 | 170 | 5.1273 |
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- | 5.034 | 11.0 | 187 | 5.1273 |
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- | 5.0416 | 12.0 | 204 | 5.1273 |
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- | 5.0495 | 13.0 | 221 | 5.1273 |
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- | 5.0551 | 14.0 | 238 | 5.1273 |
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- | 5.0215 | 15.0 | 255 | 5.1273 |
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- | 5.0357 | 16.0 | 272 | 5.1273 |
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- | 5.0285 | 17.0 | 289 | 5.1273 |
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- | 5.0657 | 18.0 | 306 | 5.1273 |
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- | 5.021 | 19.0 | 323 | 5.1273 |
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- | 5.0249 | 20.0 | 340 | 5.1273 |
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- | 5.027 | 21.0 | 357 | 5.1273 |
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- | 5.0616 | 22.0 | 374 | 5.1273 |
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- | 5.0211 | 23.0 | 391 | 5.1273 |
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- | 4.998 | 24.0 | 408 | 5.1273 |
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- | 5.0394 | 25.0 | 425 | 5.1273 |
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- | 5.0524 | 26.0 | 442 | 5.1273 |
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- | 5.0592 | 27.0 | 459 | 5.1273 |
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- | 5.0598 | 28.0 | 476 | 5.1273 |
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- | 5.0602 | 29.0 | 493 | 5.1273 |
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- | 5.0604 | 30.0 | 510 | 5.1273 |
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- | 5.073 | 31.0 | 527 | 5.1273 |
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- | 5.0885 | 32.0 | 544 | 5.1273 |
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- | 5.0458 | 33.0 | 561 | 5.1273 |
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- | 5.0816 | 34.0 | 578 | 5.1273 |
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- | 5.0475 | 35.0 | 595 | 5.1273 |
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- | 5.0362 | 36.0 | 612 | 5.1273 |
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- | 5.05 | 37.0 | 629 | 5.1273 |
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- | 5.0682 | 38.0 | 646 | 5.1273 |
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- | 5.0648 | 39.0 | 663 | 5.1273 |
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- | 5.0643 | 40.0 | 680 | 5.1273 |
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- | 5.0841 | 41.0 | 697 | 5.1273 |
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- | 5.0633 | 42.0 | 714 | 5.1273 |
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- | 5.1297 | 43.0 | 731 | 5.1273 |
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- | 5.1048 | 44.0 | 748 | 5.1273 |
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- | 5.1048 | 45.0 | 765 | 5.1273 |
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- | 5.108 | 46.0 | 782 | 5.1273 |
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- | 5.0806 | 47.0 | 799 | 5.1273 |
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- | 5.09 | 48.0 | 816 | 5.1273 |
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- | 5.1022 | 49.0 | 833 | 5.1273 |
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- | 5.0659 | 50.0 | 850 | 5.1273 |
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- | 5.0801 | 51.0 | 867 | 5.1273 |
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- | 5.1027 | 52.0 | 884 | 5.1273 |
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- | 5.0962 | 53.0 | 901 | 5.1273 |
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- | 5.1041 | 54.0 | 918 | 5.1273 |
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- | 5.0985 | 55.0 | 935 | 5.1273 |
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- | 5.1067 | 56.0 | 952 | 5.1273 |
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- | 5.1344 | 57.0 | 969 | 5.1273 |
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- | 5.0863 | 58.0 | 986 | 5.1273 |
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- | 5.0648 | 59.0 | 1003 | 5.1273 |
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- | 5.1104 | 60.0 | 1020 | 5.1273 |
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- | 5.0877 | 61.0 | 1037 | 5.1273 |
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- | 5.1045 | 62.0 | 1054 | 5.1273 |
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- | 5.1108 | 63.0 | 1071 | 5.1273 |
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- | 5.0668 | 64.0 | 1088 | 5.1273 |
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- | 5.1145 | 65.0 | 1105 | 5.1273 |
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- | 5.0736 | 66.0 | 1122 | 5.1273 |
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- | 5.1024 | 67.0 | 1139 | 5.1273 |
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- | 5.0703 | 68.0 | 1156 | 5.1273 |
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- | 5.0334 | 69.0 | 1173 | 5.1273 |
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- | 5.0749 | 70.0 | 1190 | 5.1273 |
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- | 5.137 | 71.0 | 1207 | 5.1273 |
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- | 5.0764 | 72.0 | 1224 | 5.1273 |
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- | 5.0962 | 73.0 | 1241 | 5.1273 |
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- | 5.0779 | 74.0 | 1258 | 5.1273 |
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- | 5.089 | 75.0 | 1275 | 5.1273 |
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- | 5.0727 | 76.0 | 1292 | 5.1273 |
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- | 5.0424 | 77.0 | 1309 | 5.1273 |
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- | 5.0034 | 78.0 | 1326 | 5.1273 |
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- | 5.017 | 79.0 | 1343 | 5.1273 |
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- | 5.0314 | 80.0 | 1360 | 5.1273 |
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- | 5.0013 | 81.0 | 1377 | 5.1273 |
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- | 5.042 | 82.0 | 1394 | 5.1273 |
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- | 4.9832 | 83.0 | 1411 | 5.1273 |
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- | 5.0583 | 84.0 | 1428 | 5.1273 |
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- | 5.051 | 85.0 | 1445 | 5.1273 |
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- | 5.089 | 86.0 | 1462 | 5.1273 |
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- | 5.0989 | 87.0 | 1479 | 5.1273 |
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- | 5.0845 | 88.0 | 1496 | 5.1273 |
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- | 5.0943 | 89.0 | 1513 | 5.1273 |
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- | 5.0752 | 90.0 | 1530 | 5.1273 |
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- | 5.0805 | 91.0 | 1547 | 5.1273 |
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- | 5.0849 | 92.0 | 1564 | 5.1273 |
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- | 5.0336 | 93.0 | 1581 | 5.1273 |
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- | 5.0452 | 94.0 | 1598 | 5.1273 |
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- | 5.0904 | 95.0 | 1615 | 5.1273 |
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- | 5.0579 | 96.0 | 1632 | 5.1273 |
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- | 5.0914 | 97.0 | 1649 | 5.1273 |
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- | 5.0582 | 98.0 | 1666 | 5.1273 |
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- | 5.0587 | 99.0 | 1683 | 5.1273 |
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- | 5.1098 | 100.0 | 1700 | 5.1273 |
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  ### Framework versions
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
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+ - learning_rate: 6.25e-05
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.9365 | 1.0 | 17 | 5.1273 |
50
+ | 5.006 | 2.0 | 34 | 5.1273 |
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+ | 5.0104 | 3.0 | 51 | 5.1273 |
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+ | 5.0201 | 4.0 | 68 | 5.1273 |
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+ | 5.0177 | 5.0 | 85 | 5.1273 |
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+ | 4.9433 | 6.0 | 102 | 5.1273 |
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+ | 4.9503 | 7.0 | 119 | 5.1273 |
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+ | 4.9612 | 8.0 | 136 | 5.1273 |
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+ | 5.0278 | 9.0 | 153 | 5.1273 |
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+ | 5.0264 | 10.0 | 170 | 5.1273 |
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+ | 5.0171 | 11.0 | 187 | 5.1273 |
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+ | 5.0341 | 12.0 | 204 | 5.1273 |
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+ | 5.0176 | 13.0 | 221 | 5.1273 |
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+ | 5.0158 | 14.0 | 238 | 5.1273 |
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+ | 4.9754 | 15.0 | 255 | 5.1273 |
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+ | 4.9995 | 16.0 | 272 | 5.1273 |
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+ | 4.9616 | 17.0 | 289 | 5.1273 |
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+ | 4.9545 | 18.0 | 306 | 5.1273 |
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+ | 4.9641 | 19.0 | 323 | 5.1273 |
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+ | 4.9636 | 20.0 | 340 | 5.1273 |
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+ | 4.9683 | 21.0 | 357 | 5.1273 |
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+ | 4.9525 | 22.0 | 374 | 5.1273 |
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+ | 4.94 | 23.0 | 391 | 5.1273 |
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+ | 4.861 | 24.0 | 408 | 5.1273 |
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+ | 4.9214 | 25.0 | 425 | 5.1273 |
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+ | 4.9565 | 26.0 | 442 | 5.1273 |
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+ | 4.9772 | 27.0 | 459 | 5.1273 |
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+ | 4.9725 | 28.0 | 476 | 5.1273 |
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+ | 4.9905 | 29.0 | 493 | 5.1273 |
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+ | 5.0411 | 30.0 | 510 | 5.1273 |
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+ | 5.0678 | 31.0 | 527 | 5.1273 |
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+ | 5.0498 | 32.0 | 544 | 5.1273 |
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+ | 5.0148 | 33.0 | 561 | 5.1273 |
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+ | 5.0507 | 34.0 | 578 | 5.1273 |
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+ | 4.9812 | 35.0 | 595 | 5.1273 |
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+ | 4.9917 | 36.0 | 612 | 5.1273 |
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+ | 5.0133 | 37.0 | 629 | 5.1273 |
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+ | 5.0317 | 38.0 | 646 | 5.1273 |
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+ | 5.0441 | 39.0 | 663 | 5.1273 |
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+ | 5.0241 | 40.0 | 680 | 5.1273 |
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+ | 5.0584 | 41.0 | 697 | 5.1273 |
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+ | 5.0164 | 42.0 | 714 | 5.1273 |
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+ | 5.1032 | 43.0 | 731 | 5.1273 |
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+ | 5.0911 | 44.0 | 748 | 5.1273 |
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+ | 5.084 | 45.0 | 765 | 5.1273 |
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+ | 5.08 | 46.0 | 782 | 5.1273 |
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+ | 5.05 | 47.0 | 799 | 5.1273 |
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+ | 5.0538 | 48.0 | 816 | 5.1273 |
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+ | 5.0489 | 49.0 | 833 | 5.1273 |
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+ | 5.0256 | 50.0 | 850 | 5.1273 |
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+ | 5.0352 | 51.0 | 867 | 5.1273 |
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+ | 5.0942 | 52.0 | 884 | 5.1273 |
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+ | 5.0747 | 53.0 | 901 | 5.1273 |
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+ | 5.0903 | 54.0 | 918 | 5.1273 |
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+ | 5.0462 | 55.0 | 935 | 5.1273 |
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+ | 5.0815 | 56.0 | 952 | 5.1273 |
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+ | 5.0864 | 57.0 | 969 | 5.1273 |
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+ | 5.0981 | 58.0 | 986 | 5.1273 |
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+ | 5.0357 | 59.0 | 1003 | 5.1273 |
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+ | 5.092 | 60.0 | 1020 | 5.1273 |
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+ | 5.0835 | 61.0 | 1037 | 5.1273 |
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+ | 5.0798 | 62.0 | 1054 | 5.1273 |
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+ | 5.1015 | 63.0 | 1071 | 5.1273 |
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+ | 5.0362 | 64.0 | 1088 | 5.1273 |
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+ | 5.1029 | 65.0 | 1105 | 5.1273 |
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+ | 5.0929 | 66.0 | 1122 | 5.1273 |
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+ | 5.0886 | 67.0 | 1139 | 5.1273 |
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+ | 5.0476 | 68.0 | 1156 | 5.1273 |
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+ | 5.0019 | 69.0 | 1173 | 5.1273 |
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+ | 5.0682 | 70.0 | 1190 | 5.1273 |
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+ | 5.1326 | 71.0 | 1207 | 5.1273 |
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+ | 5.0789 | 72.0 | 1224 | 5.1273 |
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+ | 5.0921 | 73.0 | 1241 | 5.1273 |
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+ | 5.0417 | 74.0 | 1258 | 5.1273 |
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+ | 5.0666 | 75.0 | 1275 | 5.1273 |
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+ | 5.0724 | 76.0 | 1292 | 5.1273 |
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+ | 5.0251 | 77.0 | 1309 | 5.1273 |
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+ | 5.0805 | 78.0 | 1326 | 5.1273 |
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+ | 5.0862 | 79.0 | 1343 | 5.1273 |
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+ | 5.1104 | 80.0 | 1360 | 5.1273 |
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+ | 5.0774 | 81.0 | 1377 | 5.1273 |
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+ | 5.0684 | 82.0 | 1394 | 5.1273 |
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+ | 5.0239 | 83.0 | 1411 | 5.1273 |
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+ | 5.0755 | 84.0 | 1428 | 5.1273 |
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+ | 5.09 | 85.0 | 1445 | 5.1273 |
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+ | 5.088 | 86.0 | 1462 | 5.1273 |
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+ | 5.1426 | 87.0 | 1479 | 5.1273 |
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+ | 5.0474 | 88.0 | 1496 | 5.1273 |
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+ | 5.1361 | 89.0 | 1513 | 5.1273 |
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+ | 5.0646 | 90.0 | 1530 | 5.1273 |
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+ | 5.11 | 91.0 | 1547 | 5.1273 |
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+ | 5.0988 | 92.0 | 1564 | 5.1273 |
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+ | 5.1025 | 93.0 | 1581 | 5.1273 |
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+ | 5.0594 | 94.0 | 1598 | 5.1273 |
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+ | 5.1044 | 95.0 | 1615 | 5.1273 |
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+ | 5.14 | 96.0 | 1632 | 5.1273 |
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+ | 5.0947 | 97.0 | 1649 | 5.1273 |
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+ | 5.058 | 98.0 | 1666 | 5.1273 |
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+ | 5.0939 | 99.0 | 1683 | 5.1273 |
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+ | 5.1133 | 100.0 | 1700 | 5.1273 |
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  ### Framework versions
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