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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 +100 -100
  2. model.safetensors +1 -1
  3. runs/Mar06_05-43-35_Software-AI/events.out.tfevents.1709691216.Software-AI.1931944.39 +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: 0.00025
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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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- | 5.6079 | 1.0 | 9 | 5.3843 |
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- | 5.7068 | 2.0 | 18 | 5.3843 |
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- | 5.6631 | 3.0 | 27 | 5.3843 |
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- | 5.5833 | 4.0 | 36 | 5.3843 |
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- | 5.6364 | 5.0 | 45 | 5.3843 |
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- | 5.554 | 6.0 | 54 | 5.3843 |
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- | 5.5143 | 7.0 | 63 | 5.3843 |
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- | 5.5085 | 8.0 | 72 | 5.3843 |
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- | 5.5742 | 9.0 | 81 | 5.3843 |
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- | 5.6019 | 10.0 | 90 | 5.3843 |
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- | 5.5673 | 11.0 | 99 | 5.3843 |
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- | 5.5818 | 12.0 | 108 | 5.3843 |
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- | 5.6329 | 13.0 | 117 | 5.3843 |
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- | 5.6665 | 14.0 | 126 | 5.3843 |
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- | 5.6504 | 15.0 | 135 | 5.3843 |
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- | 5.6652 | 16.0 | 144 | 5.3843 |
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- | 5.7196 | 17.0 | 153 | 5.3843 |
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- | 5.6537 | 18.0 | 162 | 5.3843 |
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- | 5.6785 | 19.0 | 171 | 5.3843 |
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- | 5.6305 | 20.0 | 180 | 5.3843 |
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- | 5.5887 | 21.0 | 189 | 5.3843 |
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- | 5.6437 | 22.0 | 198 | 5.3843 |
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- | 5.6331 | 23.0 | 207 | 5.3843 |
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- | 5.7243 | 24.0 | 216 | 5.3843 |
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- | 5.6957 | 25.0 | 225 | 5.3843 |
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- | 5.6944 | 26.0 | 234 | 5.3843 |
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- | 5.6739 | 27.0 | 243 | 5.3843 |
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- | 5.7308 | 28.0 | 252 | 5.3843 |
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- | 5.6322 | 29.0 | 261 | 5.3843 |
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- | 5.6208 | 30.0 | 270 | 5.3843 |
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- | 5.73 | 31.0 | 279 | 5.3843 |
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- | 5.7199 | 32.0 | 288 | 5.3843 |
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- | 5.6258 | 33.0 | 297 | 5.3843 |
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- | 5.6844 | 34.0 | 306 | 5.3843 |
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- | 5.7134 | 35.0 | 315 | 5.3843 |
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- | 5.6957 | 36.0 | 324 | 5.3843 |
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- | 5.6932 | 37.0 | 333 | 5.3843 |
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- | 5.6297 | 38.0 | 342 | 5.3843 |
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- | 5.6336 | 39.0 | 351 | 5.3843 |
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- | 5.6507 | 40.0 | 360 | 5.3843 |
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- | 5.6739 | 41.0 | 369 | 5.3843 |
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- | 5.6581 | 42.0 | 378 | 5.3843 |
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- | 5.619 | 43.0 | 387 | 5.3843 |
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- | 5.6181 | 44.0 | 396 | 5.3843 |
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- | 5.6263 | 45.0 | 405 | 5.3843 |
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- | 5.7678 | 46.0 | 414 | 5.3843 |
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- | 5.683 | 47.0 | 423 | 5.3843 |
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- | 5.6755 | 48.0 | 432 | 5.3843 |
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- | 5.68 | 49.0 | 441 | 5.3843 |
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- | 5.716 | 50.0 | 450 | 5.3843 |
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- | 5.7089 | 51.0 | 459 | 5.3843 |
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- | 5.6769 | 52.0 | 468 | 5.3843 |
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- | 5.6982 | 53.0 | 477 | 5.3843 |
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- | 5.6017 | 54.0 | 486 | 5.3843 |
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- | 5.6568 | 55.0 | 495 | 5.3843 |
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- | 5.6633 | 56.0 | 504 | 5.3843 |
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- | 5.6845 | 57.0 | 513 | 5.3843 |
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- | 5.6113 | 58.0 | 522 | 5.3843 |
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- | 5.6868 | 59.0 | 531 | 5.3843 |
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- | 5.662 | 60.0 | 540 | 5.3843 |
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- | 5.6954 | 61.0 | 549 | 5.3843 |
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- | 5.7409 | 62.0 | 558 | 5.3843 |
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- | 5.6984 | 63.0 | 567 | 5.3843 |
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- | 5.688 | 64.0 | 576 | 5.3843 |
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- | 5.6495 | 65.0 | 585 | 5.3843 |
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- | 5.744 | 66.0 | 594 | 5.3843 |
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- | 5.7063 | 67.0 | 603 | 5.3843 |
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- | 5.7067 | 68.0 | 612 | 5.3843 |
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- | 5.6304 | 69.0 | 621 | 5.3843 |
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- | 5.6801 | 70.0 | 630 | 5.3843 |
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- | 5.7166 | 71.0 | 639 | 5.3843 |
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- | 5.6604 | 72.0 | 648 | 5.3843 |
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- | 5.7125 | 73.0 | 657 | 5.3843 |
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- | 5.7648 | 74.0 | 666 | 5.3843 |
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- | 5.6352 | 75.0 | 675 | 5.3843 |
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- | 5.6131 | 76.0 | 684 | 5.3843 |
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- | 5.6921 | 77.0 | 693 | 5.3843 |
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- | 5.6843 | 78.0 | 702 | 5.3843 |
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- | 5.6702 | 79.0 | 711 | 5.3843 |
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- | 5.7112 | 80.0 | 720 | 5.3843 |
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- | 5.7143 | 81.0 | 729 | 5.3843 |
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- | 5.7377 | 82.0 | 738 | 5.3843 |
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- | 5.597 | 83.0 | 747 | 5.3843 |
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- | 5.7113 | 84.0 | 756 | 5.3843 |
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- | 5.6911 | 85.0 | 765 | 5.3843 |
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  | 5.671 | 86.0 | 774 | 5.3843 |
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- | 5.7723 | 87.0 | 783 | 5.3843 |
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- | 5.734 | 88.0 | 792 | 5.3843 |
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- | 5.688 | 89.0 | 801 | 5.3843 |
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- | 5.7117 | 90.0 | 810 | 5.3843 |
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- | 5.7415 | 91.0 | 819 | 5.3843 |
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- | 5.701 | 92.0 | 828 | 5.3843 |
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- | 5.7772 | 93.0 | 837 | 5.3843 |
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- | 5.7077 | 94.0 | 846 | 5.3843 |
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- | 5.7301 | 95.0 | 855 | 5.3843 |
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- | 5.683 | 96.0 | 864 | 5.3843 |
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- | 5.7122 | 97.0 | 873 | 5.3843 |
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- | 5.6811 | 98.0 | 882 | 5.3843 |
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- | 5.7113 | 99.0 | 891 | 5.3843 |
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- | 5.7571 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 0.000125
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 5.5511 | 1.0 | 9 | 5.3843 |
50
+ | 5.6623 | 2.0 | 18 | 5.3843 |
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+ | 5.6352 | 3.0 | 27 | 5.3843 |
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+ | 5.5613 | 4.0 | 36 | 5.3843 |
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+ | 5.6011 | 5.0 | 45 | 5.3843 |
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+ | 5.5287 | 6.0 | 54 | 5.3843 |
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+ | 5.48 | 7.0 | 63 | 5.3843 |
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+ | 5.4651 | 8.0 | 72 | 5.3843 |
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+ | 5.5131 | 9.0 | 81 | 5.3843 |
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+ | 5.5703 | 10.0 | 90 | 5.3843 |
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+ | 5.6402 | 11.0 | 99 | 5.3843 |
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+ | 5.7286 | 12.0 | 108 | 5.3843 |
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+ | 5.7567 | 13.0 | 117 | 5.3843 |
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+ | 5.7574 | 14.0 | 126 | 5.3843 |
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+ | 5.6659 | 15.0 | 135 | 5.3843 |
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+ | 5.6497 | 16.0 | 144 | 5.3843 |
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+ | 5.6881 | 17.0 | 153 | 5.3843 |
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+ | 5.6211 | 18.0 | 162 | 5.3843 |
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+ | 5.646 | 19.0 | 171 | 5.3843 |
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+ | 5.5889 | 20.0 | 180 | 5.3843 |
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+ | 5.5576 | 21.0 | 189 | 5.3843 |
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+ | 5.6177 | 22.0 | 198 | 5.3843 |
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+ | 5.6102 | 23.0 | 207 | 5.3843 |
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+ | 5.7016 | 24.0 | 216 | 5.3843 |
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+ | 5.6872 | 25.0 | 225 | 5.3843 |
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+ | 5.6938 | 26.0 | 234 | 5.3843 |
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+ | 5.6661 | 27.0 | 243 | 5.3843 |
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+ | 5.7322 | 28.0 | 252 | 5.3843 |
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+ | 5.6293 | 29.0 | 261 | 5.3843 |
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+ | 5.614 | 30.0 | 270 | 5.3843 |
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+ | 5.7231 | 31.0 | 279 | 5.3843 |
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+ | 5.7078 | 32.0 | 288 | 5.3843 |
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+ | 5.606 | 33.0 | 297 | 5.3843 |
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+ | 5.668 | 34.0 | 306 | 5.3843 |
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+ | 5.6934 | 35.0 | 315 | 5.3843 |
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+ | 5.6759 | 36.0 | 324 | 5.3843 |
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+ | 5.6772 | 37.0 | 333 | 5.3843 |
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+ | 5.6101 | 38.0 | 342 | 5.3843 |
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+ | 5.6161 | 39.0 | 351 | 5.3843 |
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+ | 5.6318 | 40.0 | 360 | 5.3843 |
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+ | 5.6568 | 41.0 | 369 | 5.3843 |
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+ | 5.6318 | 42.0 | 378 | 5.3843 |
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+ | 5.5935 | 43.0 | 387 | 5.3843 |
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+ | 5.6 | 44.0 | 396 | 5.3843 |
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+ | 5.6181 | 45.0 | 405 | 5.3843 |
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+ | 5.7604 | 46.0 | 414 | 5.3843 |
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+ | 5.6587 | 47.0 | 423 | 5.3843 |
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+ | 5.6641 | 48.0 | 432 | 5.3843 |
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+ | 5.6583 | 49.0 | 441 | 5.3843 |
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+ | 5.7025 | 50.0 | 450 | 5.3843 |
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+ | 5.6895 | 51.0 | 459 | 5.3843 |
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+ | 5.6739 | 52.0 | 468 | 5.3843 |
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+ | 5.686 | 53.0 | 477 | 5.3843 |
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+ | 5.5886 | 54.0 | 486 | 5.3843 |
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+ | 5.6441 | 55.0 | 495 | 5.3843 |
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+ | 5.6549 | 56.0 | 504 | 5.3843 |
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+ | 5.6757 | 57.0 | 513 | 5.3843 |
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+ | 5.6077 | 58.0 | 522 | 5.3843 |
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+ | 5.6713 | 59.0 | 531 | 5.3843 |
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+ | 5.6494 | 60.0 | 540 | 5.3843 |
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+ | 5.6771 | 61.0 | 549 | 5.3843 |
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+ | 5.7255 | 62.0 | 558 | 5.3843 |
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+ | 5.6852 | 63.0 | 567 | 5.3843 |
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+ | 5.6693 | 64.0 | 576 | 5.3843 |
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+ | 5.6357 | 65.0 | 585 | 5.3843 |
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+ | 5.7431 | 66.0 | 594 | 5.3843 |
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+ | 5.6908 | 67.0 | 603 | 5.3843 |
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+ | 5.6959 | 68.0 | 612 | 5.3843 |
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+ | 5.6225 | 69.0 | 621 | 5.3843 |
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+ | 5.668 | 70.0 | 630 | 5.3843 |
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+ | 5.7066 | 71.0 | 639 | 5.3843 |
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+ | 5.6473 | 72.0 | 648 | 5.3843 |
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+ | 5.7027 | 73.0 | 657 | 5.3843 |
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+ | 5.7518 | 74.0 | 666 | 5.3843 |
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+ | 5.6296 | 75.0 | 675 | 5.3843 |
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+ | 5.6056 | 76.0 | 684 | 5.3843 |
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+ | 5.686 | 77.0 | 693 | 5.3843 |
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+ | 5.6748 | 78.0 | 702 | 5.3843 |
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+ | 5.6647 | 79.0 | 711 | 5.3843 |
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+ | 5.7032 | 80.0 | 720 | 5.3843 |
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+ | 5.7013 | 81.0 | 729 | 5.3843 |
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+ | 5.7385 | 82.0 | 738 | 5.3843 |
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+ | 5.7115 | 99.0 | 891 | 5.3843 |
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+ | 5.7599 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
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