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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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Files changed (4) hide show
  1. README.md +86 -86
  2. model.safetensors +1 -1
  3. runs/Mar05_11-24-39_Software-AI/events.out.tfevents.1709625280.Software-AI.1931944.14 +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: 1.220703125e-07
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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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- | 4.8604 | 1.0 | 17 | 5.1273 |
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- | 4.9333 | 2.0 | 34 | 5.1273 |
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- | 4.9119 | 3.0 | 51 | 5.1273 |
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- | 4.8838 | 4.0 | 68 | 5.1273 |
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- | 4.9657 | 5.0 | 85 | 5.1273 |
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- | 4.8969 | 6.0 | 102 | 5.1273 |
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- | 4.8324 | 7.0 | 119 | 5.1273 |
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- | 4.8352 | 8.0 | 136 | 5.1273 |
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- | 4.8822 | 9.0 | 153 | 5.1273 |
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- | 4.8994 | 10.0 | 170 | 5.1273 |
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  | 4.9173 | 11.0 | 187 | 5.1273 |
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- | 4.9178 | 12.0 | 204 | 5.1273 |
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- | 4.8559 | 13.0 | 221 | 5.1273 |
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- | 4.8854 | 14.0 | 238 | 5.1273 |
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  | 4.8499 | 15.0 | 255 | 5.1273 |
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- | 4.8761 | 16.0 | 272 | 5.1273 |
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- | 4.8561 | 17.0 | 289 | 5.1273 |
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- | 4.8989 | 18.0 | 306 | 5.1273 |
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- | 4.8443 | 19.0 | 323 | 5.1273 |
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  | 4.8984 | 20.0 | 340 | 5.1273 |
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- | 4.8629 | 21.0 | 357 | 5.1273 |
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- | 4.9092 | 22.0 | 374 | 5.1273 |
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- | 4.8958 | 23.0 | 391 | 5.1273 |
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- | 4.8149 | 24.0 | 408 | 5.1273 |
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  | 4.9511 | 25.0 | 425 | 5.1273 |
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- | 4.9158 | 26.0 | 442 | 5.1273 |
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- | 4.8576 | 27.0 | 459 | 5.1273 |
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- | 4.8317 | 28.0 | 476 | 5.1273 |
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- | 4.8526 | 29.0 | 493 | 5.1273 |
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- | 4.8645 | 30.0 | 510 | 5.1273 |
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- | 4.9482 | 31.0 | 527 | 5.1273 |
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- | 4.975 | 32.0 | 544 | 5.1273 |
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- | 4.9191 | 33.0 | 561 | 5.1273 |
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- | 4.9653 | 34.0 | 578 | 5.1273 |
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- | 4.9067 | 35.0 | 595 | 5.1273 |
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- | 4.8967 | 36.0 | 612 | 5.1273 |
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- | 4.9294 | 37.0 | 629 | 5.1273 |
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- | 4.9716 | 38.0 | 646 | 5.1273 |
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- | 4.9273 | 39.0 | 663 | 5.1273 |
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- | 4.9515 | 40.0 | 680 | 5.1273 |
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- | 4.9566 | 41.0 | 697 | 5.1273 |
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- | 4.8927 | 42.0 | 714 | 5.1273 |
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- | 5.0006 | 43.0 | 731 | 5.1273 |
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- | 5.0173 | 44.0 | 748 | 5.1273 |
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- | 4.9925 | 45.0 | 765 | 5.1273 |
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- | 4.9447 | 46.0 | 782 | 5.1273 |
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- | 4.9718 | 47.0 | 799 | 5.1273 |
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- | 4.9727 | 48.0 | 816 | 5.1273 |
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- | 4.965 | 49.0 | 833 | 5.1273 |
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- | 4.9622 | 50.0 | 850 | 5.1273 |
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- | 4.9663 | 51.0 | 867 | 5.1273 |
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- | 4.9759 | 52.0 | 884 | 5.1273 |
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- | 5.027 | 53.0 | 901 | 5.1273 |
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- | 5.0181 | 54.0 | 918 | 5.1273 |
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- | 4.9843 | 55.0 | 935 | 5.1273 |
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- | 4.9849 | 56.0 | 952 | 5.1273 |
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- | 5.0147 | 57.0 | 969 | 5.1273 |
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- | 5.0595 | 58.0 | 986 | 5.1273 |
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- | 4.9791 | 59.0 | 1003 | 5.1273 |
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- | 5.0565 | 60.0 | 1020 | 5.1273 |
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- | 5.0236 | 61.0 | 1037 | 5.1273 |
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  | 4.9636 | 62.0 | 1054 | 5.1273 |
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- | 5.0481 | 63.0 | 1071 | 5.1273 |
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- | 4.9655 | 64.0 | 1088 | 5.1273 |
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- | 5.0631 | 65.0 | 1105 | 5.1273 |
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- | 5.0668 | 66.0 | 1122 | 5.1273 |
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- | 5.0427 | 67.0 | 1139 | 5.1273 |
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- | 5.0062 | 68.0 | 1156 | 5.1273 |
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- | 4.9887 | 69.0 | 1173 | 5.1273 |
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- | 5.0531 | 70.0 | 1190 | 5.1273 |
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- | 5.1076 | 71.0 | 1207 | 5.1273 |
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- | 5.0165 | 72.0 | 1224 | 5.1273 |
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- | 5.0385 | 73.0 | 1241 | 5.1273 |
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- | 5.0322 | 74.0 | 1258 | 5.1273 |
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  | 5.0458 | 75.0 | 1275 | 5.1273 |
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- | 5.0737 | 76.0 | 1292 | 5.1273 |
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- | 5.006 | 77.0 | 1309 | 5.1273 |
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- | 5.0274 | 78.0 | 1326 | 5.1273 |
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- | 5.0379 | 79.0 | 1343 | 5.1273 |
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- | 5.1039 | 80.0 | 1360 | 5.1273 |
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- | 5.0211 | 81.0 | 1377 | 5.1273 |
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- | 5.0436 | 82.0 | 1394 | 5.1273 |
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- | 4.9927 | 83.0 | 1411 | 5.1273 |
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- | 5.0462 | 84.0 | 1428 | 5.1273 |
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- | 5.0412 | 85.0 | 1445 | 5.1273 |
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  | 5.0593 | 86.0 | 1462 | 5.1273 |
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- | 5.1127 | 87.0 | 1479 | 5.1273 |
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  | 5.0125 | 88.0 | 1496 | 5.1273 |
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- | 5.0923 | 89.0 | 1513 | 5.1273 |
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  | 5.068 | 90.0 | 1530 | 5.1273 |
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  | 5.0961 | 91.0 | 1547 | 5.1273 |
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  | 5.0841 | 92.0 | 1564 | 5.1273 |
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- | 5.0976 | 93.0 | 1581 | 5.1273 |
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  | 5.0251 | 94.0 | 1598 | 5.1273 |
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- | 5.0906 | 95.0 | 1615 | 5.1273 |
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- | 5.1349 | 96.0 | 1632 | 5.1273 |
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  | 5.1104 | 97.0 | 1649 | 5.1273 |
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  | 5.0242 | 98.0 | 1666 | 5.1273 |
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  | 5.0912 | 99.0 | 1683 | 5.1273 |
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- | 5.1085 | 100.0 | 1700 | 5.1273 |
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  ### Framework versions
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 6.103515625e-08
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
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  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 4.8597 | 1.0 | 17 | 5.1273 |
50
+ | 4.933 | 2.0 | 34 | 5.1273 |
51
+ | 4.9116 | 3.0 | 51 | 5.1273 |
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+ | 4.8834 | 4.0 | 68 | 5.1273 |
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+ | 4.9654 | 5.0 | 85 | 5.1273 |
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+ | 4.8966 | 6.0 | 102 | 5.1273 |
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+ | 4.8321 | 7.0 | 119 | 5.1273 |
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+ | 4.8348 | 8.0 | 136 | 5.1273 |
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+ | 4.882 | 9.0 | 153 | 5.1273 |
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+ | 4.8992 | 10.0 | 170 | 5.1273 |
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  | 4.9173 | 11.0 | 187 | 5.1273 |
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+ | 4.9176 | 12.0 | 204 | 5.1273 |
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+ | 4.8557 | 13.0 | 221 | 5.1273 |
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+ | 4.8852 | 14.0 | 238 | 5.1273 |
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  | 4.8499 | 15.0 | 255 | 5.1273 |
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+ | 4.8759 | 16.0 | 272 | 5.1273 |
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+ | 4.8559 | 17.0 | 289 | 5.1273 |
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+ | 4.8988 | 18.0 | 306 | 5.1273 |
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+ | 4.844 | 19.0 | 323 | 5.1273 |
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  | 4.8984 | 20.0 | 340 | 5.1273 |
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+ | 4.863 | 21.0 | 357 | 5.1273 |
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+ | 4.909 | 22.0 | 374 | 5.1273 |
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+ | 4.8959 | 23.0 | 391 | 5.1273 |
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+ | 4.8147 | 24.0 | 408 | 5.1273 |
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  | 4.9511 | 25.0 | 425 | 5.1273 |
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+ | 4.9159 | 26.0 | 442 | 5.1273 |
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+ | 4.8574 | 27.0 | 459 | 5.1273 |
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+ | 4.8315 | 28.0 | 476 | 5.1273 |
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+ | 4.8524 | 29.0 | 493 | 5.1273 |
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+ | 4.8642 | 30.0 | 510 | 5.1273 |
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+ | 4.9481 | 31.0 | 527 | 5.1273 |
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+ | 4.9748 | 32.0 | 544 | 5.1273 |
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+ | 4.919 | 33.0 | 561 | 5.1273 |
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+ | 4.9651 | 34.0 | 578 | 5.1273 |
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+ | 4.9065 | 35.0 | 595 | 5.1273 |
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+ | 4.8965 | 36.0 | 612 | 5.1273 |
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+ | 4.9292 | 37.0 | 629 | 5.1273 |
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+ | 4.9713 | 38.0 | 646 | 5.1273 |
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+ | 4.927 | 39.0 | 663 | 5.1273 |
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+ | 4.9514 | 40.0 | 680 | 5.1273 |
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+ | 4.9564 | 41.0 | 697 | 5.1273 |
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+ | 4.8924 | 42.0 | 714 | 5.1273 |
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+ | 5.0002 | 43.0 | 731 | 5.1273 |
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+ | 5.017 | 44.0 | 748 | 5.1273 |
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+ | 4.9923 | 45.0 | 765 | 5.1273 |
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+ | 4.9445 | 46.0 | 782 | 5.1273 |
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+ | 4.9716 | 47.0 | 799 | 5.1273 |
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+ | 4.9725 | 48.0 | 816 | 5.1273 |
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+ | 4.9646 | 49.0 | 833 | 5.1273 |
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+ | 4.962 | 50.0 | 850 | 5.1273 |
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+ | 4.9661 | 51.0 | 867 | 5.1273 |
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+ | 4.9757 | 52.0 | 884 | 5.1273 |
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+ | 5.0268 | 53.0 | 901 | 5.1273 |
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+ | 5.018 | 54.0 | 918 | 5.1273 |
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+ | 4.9842 | 55.0 | 935 | 5.1273 |
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+ | 4.9847 | 56.0 | 952 | 5.1273 |
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+ | 5.0145 | 57.0 | 969 | 5.1273 |
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+ | 5.0593 | 58.0 | 986 | 5.1273 |
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+ | 4.9789 | 59.0 | 1003 | 5.1273 |
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+ | 5.0564 | 60.0 | 1020 | 5.1273 |
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+ | 5.0235 | 61.0 | 1037 | 5.1273 |
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  | 4.9636 | 62.0 | 1054 | 5.1273 |
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+ | 5.0479 | 63.0 | 1071 | 5.1273 |
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+ | 4.9654 | 64.0 | 1088 | 5.1273 |
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+ | 5.063 | 65.0 | 1105 | 5.1273 |
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+ | 5.067 | 66.0 | 1122 | 5.1273 |
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+ | 5.0424 | 67.0 | 1139 | 5.1273 |
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+ | 5.0061 | 68.0 | 1156 | 5.1273 |
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+ | 4.9886 | 69.0 | 1173 | 5.1273 |
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+ | 5.053 | 70.0 | 1190 | 5.1273 |
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+ | 5.1073 | 71.0 | 1207 | 5.1273 |
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+ | 5.0162 | 72.0 | 1224 | 5.1273 |
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+ | 5.0383 | 73.0 | 1241 | 5.1273 |
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+ | 5.032 | 74.0 | 1258 | 5.1273 |
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  | 5.0458 | 75.0 | 1275 | 5.1273 |
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+ | 5.0735 | 76.0 | 1292 | 5.1273 |
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+ | 5.0059 | 77.0 | 1309 | 5.1273 |
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+ | 5.0272 | 78.0 | 1326 | 5.1273 |
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+ | 5.038 | 79.0 | 1343 | 5.1273 |
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+ | 5.1038 | 80.0 | 1360 | 5.1273 |
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+ | 5.021 | 81.0 | 1377 | 5.1273 |
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+ | 5.0438 | 82.0 | 1394 | 5.1273 |
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+ | 4.9925 | 83.0 | 1411 | 5.1273 |
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+ | 5.0461 | 84.0 | 1428 | 5.1273 |
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+ | 5.0413 | 85.0 | 1445 | 5.1273 |
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  | 5.0593 | 86.0 | 1462 | 5.1273 |
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+ | 5.1126 | 87.0 | 1479 | 5.1273 |
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  | 5.0125 | 88.0 | 1496 | 5.1273 |
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+ | 5.0924 | 89.0 | 1513 | 5.1273 |
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  | 5.068 | 90.0 | 1530 | 5.1273 |
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  | 5.0961 | 91.0 | 1547 | 5.1273 |
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  | 5.0841 | 92.0 | 1564 | 5.1273 |
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+ | 5.098 | 93.0 | 1581 | 5.1273 |
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  | 5.0251 | 94.0 | 1598 | 5.1273 |
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+ | 5.0905 | 95.0 | 1615 | 5.1273 |
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+ | 5.1351 | 96.0 | 1632 | 5.1273 |
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  | 5.1104 | 97.0 | 1649 | 5.1273 |
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  | 5.0242 | 98.0 | 1666 | 5.1273 |
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  | 5.0912 | 99.0 | 1683 | 5.1273 |
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+ | 5.1084 | 100.0 | 1700 | 5.1273 |
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  ### Framework versions
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