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

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Safetensors
deberta-v2
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  1. README.md +97 -97
  2. model.safetensors +1 -1
  3. runs/Mar05_09-14-10_Software-AI/events.out.tfevents.1709617451.Software-AI.1931944.13 +2 -2
README.md CHANGED
@@ -34,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2.44140625e-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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- | 4.8618 | 1.0 | 17 | 5.1273 |
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- | 4.934 | 2.0 | 34 | 5.1273 |
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- | 4.9125 | 3.0 | 51 | 5.1273 |
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- | 4.8845 | 4.0 | 68 | 5.1273 |
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- | 4.9664 | 5.0 | 85 | 5.1273 |
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- | 4.8976 | 6.0 | 102 | 5.1273 |
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- | 4.8331 | 7.0 | 119 | 5.1273 |
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- | 4.836 | 8.0 | 136 | 5.1273 |
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- | 4.8827 | 9.0 | 153 | 5.1273 |
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- | 4.8999 | 10.0 | 170 | 5.1273 |
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- | 4.9175 | 11.0 | 187 | 5.1273 |
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- | 4.9183 | 12.0 | 204 | 5.1273 |
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- | 4.8562 | 13.0 | 221 | 5.1273 |
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- | 4.8856 | 14.0 | 238 | 5.1273 |
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  | 4.8499 | 15.0 | 255 | 5.1273 |
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- | 4.8765 | 16.0 | 272 | 5.1273 |
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- | 4.8564 | 17.0 | 289 | 5.1273 |
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- | 4.8993 | 18.0 | 306 | 5.1273 |
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- | 4.8449 | 19.0 | 323 | 5.1273 |
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- | 4.8983 | 20.0 | 340 | 5.1273 |
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- | 4.8627 | 21.0 | 357 | 5.1273 |
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- | 4.9094 | 22.0 | 374 | 5.1273 |
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- | 4.8957 | 23.0 | 391 | 5.1273 |
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- | 4.8152 | 24.0 | 408 | 5.1273 |
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  | 4.9511 | 25.0 | 425 | 5.1273 |
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- | 4.9157 | 26.0 | 442 | 5.1273 |
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- | 4.8579 | 27.0 | 459 | 5.1273 |
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- | 4.8321 | 28.0 | 476 | 5.1273 |
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- | 4.8529 | 29.0 | 493 | 5.1273 |
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- | 4.865 | 30.0 | 510 | 5.1273 |
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- | 4.9485 | 31.0 | 527 | 5.1273 |
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- | 4.9752 | 32.0 | 544 | 5.1273 |
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- | 4.9194 | 33.0 | 561 | 5.1273 |
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- | 4.9657 | 34.0 | 578 | 5.1273 |
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- | 4.9071 | 35.0 | 595 | 5.1273 |
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- | 4.8971 | 36.0 | 612 | 5.1273 |
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- | 4.9299 | 37.0 | 629 | 5.1273 |
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- | 4.9723 | 38.0 | 646 | 5.1273 |
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- | 4.928 | 39.0 | 663 | 5.1273 |
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- | 4.9519 | 40.0 | 680 | 5.1273 |
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- | 4.9571 | 41.0 | 697 | 5.1273 |
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- | 4.8935 | 42.0 | 714 | 5.1273 |
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- | 5.0015 | 43.0 | 731 | 5.1273 |
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- | 5.0179 | 44.0 | 748 | 5.1273 |
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- | 4.9932 | 45.0 | 765 | 5.1273 |
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- | 4.9451 | 46.0 | 782 | 5.1273 |
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- | 4.9723 | 47.0 | 799 | 5.1273 |
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- | 4.9732 | 48.0 | 816 | 5.1273 |
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- | 4.9662 | 49.0 | 833 | 5.1273 |
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- | 4.9625 | 50.0 | 850 | 5.1273 |
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- | 4.9666 | 51.0 | 867 | 5.1273 |
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- | 4.9764 | 52.0 | 884 | 5.1273 |
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- | 5.0274 | 53.0 | 901 | 5.1273 |
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- | 5.0182 | 54.0 | 918 | 5.1273 |
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- | 4.9845 | 55.0 | 935 | 5.1273 |
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- | 4.9853 | 56.0 | 952 | 5.1273 |
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- | 5.0149 | 57.0 | 969 | 5.1273 |
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- | 5.0599 | 58.0 | 986 | 5.1273 |
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- | 4.9795 | 59.0 | 1003 | 5.1273 |
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- | 5.0567 | 60.0 | 1020 | 5.1273 |
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- | 5.0237 | 61.0 | 1037 | 5.1273 |
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- | 4.9637 | 62.0 | 1054 | 5.1273 |
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- | 5.0485 | 63.0 | 1071 | 5.1273 |
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- | 4.9658 | 64.0 | 1088 | 5.1273 |
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- | 5.0633 | 65.0 | 1105 | 5.1273 |
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- | 5.0663 | 66.0 | 1122 | 5.1273 |
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- | 5.0432 | 67.0 | 1139 | 5.1273 |
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- | 5.0065 | 68.0 | 1156 | 5.1273 |
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- | 4.9889 | 69.0 | 1173 | 5.1273 |
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- | 5.0534 | 70.0 | 1190 | 5.1273 |
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- | 5.1081 | 71.0 | 1207 | 5.1273 |
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- | 5.0172 | 72.0 | 1224 | 5.1273 |
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- | 5.0388 | 73.0 | 1241 | 5.1273 |
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- | 5.0324 | 74.0 | 1258 | 5.1273 |
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- | 5.0459 | 75.0 | 1275 | 5.1273 |
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- | 5.0742 | 76.0 | 1292 | 5.1273 |
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- | 5.0061 | 77.0 | 1309 | 5.1273 |
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- | 5.0279 | 78.0 | 1326 | 5.1273 |
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- | 5.0376 | 79.0 | 1343 | 5.1273 |
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- | 5.104 | 80.0 | 1360 | 5.1273 |
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- | 5.0213 | 81.0 | 1377 | 5.1273 |
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- | 5.0433 | 82.0 | 1394 | 5.1273 |
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- | 4.9931 | 83.0 | 1411 | 5.1273 |
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  | 5.0462 | 84.0 | 1428 | 5.1273 |
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- | 5.041 | 85.0 | 1445 | 5.1273 |
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- | 5.0594 | 86.0 | 1462 | 5.1273 |
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- | 5.1129 | 87.0 | 1479 | 5.1273 |
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- | 5.0126 | 88.0 | 1496 | 5.1273 |
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- | 5.0922 | 89.0 | 1513 | 5.1273 |
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- | 5.0681 | 90.0 | 1530 | 5.1273 |
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  | 5.0961 | 91.0 | 1547 | 5.1273 |
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- | 5.084 | 92.0 | 1564 | 5.1273 |
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- | 5.0969 | 93.0 | 1581 | 5.1273 |
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- | 5.0252 | 94.0 | 1598 | 5.1273 |
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- | 5.0908 | 95.0 | 1615 | 5.1273 |
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- | 5.1345 | 96.0 | 1632 | 5.1273 |
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- | 5.1106 | 97.0 | 1649 | 5.1273 |
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- | 5.024 | 98.0 | 1666 | 5.1273 |
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- | 5.091 | 99.0 | 1683 | 5.1273 |
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- | 5.1088 | 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: 1.220703125e-07
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
  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.8604 | 1.0 | 17 | 5.1273 |
50
+ | 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
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