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makhataei
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qa-persian-distilbert-fa-zwnj-base

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Safetensors
distilbert
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End of training

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Files changed (4) hide show
  1. README.md +101 -101
  2. model.safetensors +1 -1
  3. runs/Mar06_07-20-08_Software-AI/events.out.tfevents.1709697009.Software-AI.1931944.46 +3 -0
  4. training_args.bin +1 -1
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: 3.90625e-06
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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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- | 5.5202 | 1.0 | 9 | 5.3843 |
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- | 5.7116 | 2.0 | 18 | 5.3843 |
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- | 5.6886 | 3.0 | 27 | 5.3843 |
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- | 5.7339 | 4.0 | 36 | 5.3843 |
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- | 5.7733 | 5.0 | 45 | 5.3843 |
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- | 5.7317 | 6.0 | 54 | 5.3843 |
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- | 5.6516 | 7.0 | 63 | 5.3843 |
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- | 5.6817 | 8.0 | 72 | 5.3843 |
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- | 5.6371 | 9.0 | 81 | 5.3843 |
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- | 5.6191 | 10.0 | 90 | 5.3843 |
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- | 5.5754 | 11.0 | 99 | 5.3843 |
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- | 5.6204 | 12.0 | 108 | 5.3843 |
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- | 5.6892 | 13.0 | 117 | 5.3843 |
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- | 5.7 | 14.0 | 126 | 5.3843 |
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- | 5.6992 | 15.0 | 135 | 5.3843 |
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- | 5.7397 | 16.0 | 144 | 5.3843 |
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- | 5.756 | 17.0 | 153 | 5.3843 |
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- | 5.7124 | 18.0 | 162 | 5.3843 |
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- | 5.7893 | 19.0 | 171 | 5.3843 |
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- | 5.7024 | 20.0 | 180 | 5.3843 |
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- | 5.6527 | 21.0 | 189 | 5.3843 |
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- | 5.715 | 22.0 | 198 | 5.3843 |
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- | 5.684 | 23.0 | 207 | 5.3843 |
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- | 5.789 | 24.0 | 216 | 5.3843 |
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- | 5.7335 | 25.0 | 225 | 5.3843 |
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- | 5.7443 | 26.0 | 234 | 5.3843 |
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- | 5.735 | 27.0 | 243 | 5.3843 |
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- | 5.7483 | 28.0 | 252 | 5.3843 |
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- | 5.6476 | 29.0 | 261 | 5.3843 |
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- | 5.6508 | 30.0 | 270 | 5.3843 |
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- | 5.7502 | 31.0 | 279 | 5.3843 |
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- | 5.7283 | 32.0 | 288 | 5.3843 |
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- | 5.6192 | 33.0 | 297 | 5.3843 |
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- | 5.6825 | 34.0 | 306 | 5.3843 |
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- | 5.7003 | 35.0 | 315 | 5.3843 |
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- | 5.6906 | 36.0 | 324 | 5.3843 |
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- | 5.6984 | 37.0 | 333 | 5.3843 |
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- | 5.6142 | 38.0 | 342 | 5.3843 |
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- | 5.6271 | 39.0 | 351 | 5.3843 |
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- | 5.6499 | 40.0 | 360 | 5.3843 |
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- | 5.6437 | 41.0 | 369 | 5.3843 |
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- | 5.5815 | 42.0 | 378 | 5.3843 |
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- | 5.5145 | 43.0 | 387 | 5.3843 |
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- | 5.5228 | 44.0 | 396 | 5.3843 |
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- | 5.4681 | 45.0 | 405 | 5.3843 |
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- | 5.7046 | 46.0 | 414 | 5.3843 |
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- | 5.5649 | 47.0 | 423 | 5.3843 |
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- | 5.4087 | 48.0 | 432 | 5.3843 |
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- | 5.389 | 49.0 | 441 | 5.3843 |
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- | 5.4827 | 50.0 | 450 | 5.3843 |
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- | 5.4161 | 51.0 | 459 | 5.3843 |
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- | 5.4174 | 52.0 | 468 | 5.3843 |
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- | 5.4716 | 53.0 | 477 | 5.3843 |
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- | 5.5901 | 54.0 | 486 | 5.3843 |
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- | 5.6282 | 55.0 | 495 | 5.3843 |
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- | 5.6901 | 56.0 | 504 | 5.3843 |
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- | 5.664 | 57.0 | 513 | 5.3843 |
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- | 5.619 | 58.0 | 522 | 5.3843 |
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- | 5.654 | 59.0 | 531 | 5.3843 |
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- | 5.6297 | 60.0 | 540 | 5.3843 |
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- | 5.6719 | 61.0 | 549 | 5.3843 |
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- | 5.6139 | 62.0 | 558 | 5.3843 |
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- | 5.6143 | 63.0 | 567 | 5.3843 |
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- | 5.6341 | 64.0 | 576 | 5.3843 |
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- | 5.5933 | 65.0 | 585 | 5.3843 |
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- | 5.7152 | 66.0 | 594 | 5.3843 |
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- | 5.6299 | 67.0 | 603 | 5.3843 |
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- | 5.673 | 68.0 | 612 | 5.3843 |
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- | 5.5948 | 69.0 | 621 | 5.3843 |
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- | 5.6606 | 70.0 | 630 | 5.3843 |
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- | 5.7052 | 71.0 | 639 | 5.3843 |
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- | 5.6548 | 72.0 | 648 | 5.3843 |
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- | 5.7027 | 73.0 | 657 | 5.3843 |
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- | 5.743 | 74.0 | 666 | 5.3843 |
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- | 5.6045 | 75.0 | 675 | 5.3843 |
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- | 5.6031 | 76.0 | 684 | 5.3843 |
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- | 5.6932 | 77.0 | 693 | 5.3843 |
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- | 5.6526 | 78.0 | 702 | 5.3843 |
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- | 5.6546 | 79.0 | 711 | 5.3843 |
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- | 5.6962 | 80.0 | 720 | 5.3843 |
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- | 5.7074 | 81.0 | 729 | 5.3843 |
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- | 5.7337 | 82.0 | 738 | 5.3843 |
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- | 5.5352 | 83.0 | 747 | 5.3843 |
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- | 5.7077 | 84.0 | 756 | 5.3843 |
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- | 5.6805 | 85.0 | 765 | 5.3843 |
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- | 5.6616 | 86.0 | 774 | 5.3843 |
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- | 5.7423 | 87.0 | 783 | 5.3843 |
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- | 5.7319 | 88.0 | 792 | 5.3843 |
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- | 5.6859 | 89.0 | 801 | 5.3843 |
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- | 5.7061 | 90.0 | 810 | 5.3843 |
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- | 5.7291 | 91.0 | 819 | 5.3843 |
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- | 5.7259 | 92.0 | 828 | 5.3843 |
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- | 5.7711 | 93.0 | 837 | 5.3843 |
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- | 5.7154 | 94.0 | 846 | 5.3843 |
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- | 5.7465 | 95.0 | 855 | 5.3843 |
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- | 5.6975 | 96.0 | 864 | 5.3843 |
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- | 5.7337 | 97.0 | 873 | 5.3843 |
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- | 5.6624 | 98.0 | 882 | 5.3843 |
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- | 5.7174 | 99.0 | 891 | 5.3843 |
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- | 5.768 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
 
34
  ### Training hyperparameters
35
 
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  The following hyperparameters were used during training:
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+ - learning_rate: 1.953125e-06
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.5138 | 1.0 | 9 | 5.3843 |
50
+ | 5.709 | 2.0 | 18 | 5.3843 |
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+ | 5.6878 | 3.0 | 27 | 5.3843 |
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+ | 5.7314 | 4.0 | 36 | 5.3843 |
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+ | 5.7709 | 5.0 | 45 | 5.3843 |
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+ | 5.7304 | 6.0 | 54 | 5.3843 |
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+ | 5.652 | 7.0 | 63 | 5.3843 |
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+ | 5.6819 | 8.0 | 72 | 5.3843 |
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+ | 5.642 | 9.0 | 81 | 5.3843 |
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+ | 5.6132 | 10.0 | 90 | 5.3843 |
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+ | 5.5662 | 11.0 | 99 | 5.3843 |
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+ | 5.6164 | 12.0 | 108 | 5.3843 |
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+ | 5.684 | 13.0 | 117 | 5.3843 |
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+ | 5.6999 | 14.0 | 126 | 5.3843 |
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+ | 5.6959 | 15.0 | 135 | 5.3843 |
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+ | 5.741 | 16.0 | 144 | 5.3843 |
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+ | 5.7574 | 17.0 | 153 | 5.3843 |
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+ | 5.712 | 18.0 | 162 | 5.3843 |
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+ | 5.7881 | 19.0 | 171 | 5.3843 |
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+ | 5.7017 | 20.0 | 180 | 5.3843 |
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+ | 5.653 | 21.0 | 189 | 5.3843 |
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+ | 5.7143 | 22.0 | 198 | 5.3843 |
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+ | 5.6844 | 23.0 | 207 | 5.3843 |
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+ | 5.7888 | 24.0 | 216 | 5.3843 |
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+ | 5.7324 | 25.0 | 225 | 5.3843 |
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+ | 5.7438 | 26.0 | 234 | 5.3843 |
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+ | 5.733 | 27.0 | 243 | 5.3843 |
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+ | 5.7489 | 28.0 | 252 | 5.3843 |
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+ | 5.6469 | 29.0 | 261 | 5.3843 |
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+ | 5.6484 | 30.0 | 270 | 5.3843 |
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+ | 5.7477 | 31.0 | 279 | 5.3843 |
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+ | 5.7266 | 32.0 | 288 | 5.3843 |
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+ | 5.6151 | 33.0 | 297 | 5.3843 |
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+ | 5.6803 | 34.0 | 306 | 5.3843 |
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+ | 5.6966 | 35.0 | 315 | 5.3843 |
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+ | 5.6877 | 36.0 | 324 | 5.3843 |
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+ | 5.694 | 37.0 | 333 | 5.3843 |
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+ | 5.6111 | 38.0 | 342 | 5.3843 |
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+ | 5.6246 | 39.0 | 351 | 5.3843 |
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+ | 5.6443 | 40.0 | 360 | 5.3843 |
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+ | 5.6405 | 41.0 | 369 | 5.3843 |
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+ | 5.5749 | 42.0 | 378 | 5.3843 |
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+ | 5.5049 | 43.0 | 387 | 5.3843 |
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+ | 5.5167 | 44.0 | 396 | 5.3843 |
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+ | 5.4595 | 45.0 | 405 | 5.3843 |
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+ | 5.7035 | 46.0 | 414 | 5.3843 |
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+ | 5.5598 | 47.0 | 423 | 5.3843 |
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+ | 5.4036 | 48.0 | 432 | 5.3843 |
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+ | 5.3668 | 49.0 | 441 | 5.3843 |
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+ | 5.4744 | 50.0 | 450 | 5.3843 |
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+ | 5.4002 | 51.0 | 459 | 5.3843 |
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+ | 5.4137 | 52.0 | 468 | 5.3843 |
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+ | 5.4682 | 53.0 | 477 | 5.3843 |
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+ | 5.5828 | 54.0 | 486 | 5.3843 |
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+ | 5.6208 | 55.0 | 495 | 5.3843 |
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+ | 5.6881 | 56.0 | 504 | 5.3843 |
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+ | 5.6642 | 57.0 | 513 | 5.3843 |
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+ | 5.6246 | 58.0 | 522 | 5.3843 |
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+ | 5.6647 | 59.0 | 531 | 5.3843 |
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+ | 5.6326 | 60.0 | 540 | 5.3843 |
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+ | 5.6813 | 61.0 | 549 | 5.3843 |
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+ | 5.6246 | 62.0 | 558 | 5.3843 |
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+ | 5.6232 | 63.0 | 567 | 5.3843 |
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+ | 5.6429 | 64.0 | 576 | 5.3843 |
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+ | 5.5979 | 65.0 | 585 | 5.3843 |
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+ | 5.7088 | 66.0 | 594 | 5.3843 |
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+ | 5.6217 | 67.0 | 603 | 5.3843 |
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+ | 5.675 | 68.0 | 612 | 5.3843 |
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+ | 5.5983 | 69.0 | 621 | 5.3843 |
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+ | 5.6653 | 70.0 | 630 | 5.3843 |
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+ | 5.712 | 71.0 | 639 | 5.3843 |
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+ | 5.6621 | 72.0 | 648 | 5.3843 |
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+ | 5.7092 | 73.0 | 657 | 5.3843 |
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+ | 5.7516 | 74.0 | 666 | 5.3843 |
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+ | 5.5963 | 75.0 | 675 | 5.3843 |
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+ | 5.6013 | 76.0 | 684 | 5.3843 |
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+ | 5.6965 | 77.0 | 693 | 5.3843 |
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+ | 5.6582 | 78.0 | 702 | 5.3843 |
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+ | 5.6545 | 79.0 | 711 | 5.3843 |
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+ | 5.7136 | 81.0 | 729 | 5.3843 |
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+ | 5.7757 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
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