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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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a403e15
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End of training

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Files changed (4) hide show
  1. README.md +99 -99
  2. model.safetensors +1 -1
  3. runs/Mar06_05-14-33_Software-AI/events.out.tfevents.1709689473.Software-AI.1931944.37 +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: 0.001
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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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- | 5.6668 | 1.0 | 9 | 5.3843 |
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- | 5.7381 | 2.0 | 18 | 5.3843 |
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- | 5.7584 | 3.0 | 27 | 5.3843 |
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- | 5.7058 | 4.0 | 36 | 5.3843 |
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- | 5.8019 | 5.0 | 45 | 5.3843 |
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- | 5.7066 | 6.0 | 54 | 5.3843 |
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- | 5.6723 | 7.0 | 63 | 5.3843 |
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- | 5.664 | 8.0 | 72 | 5.3843 |
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- | 5.714 | 9.0 | 81 | 5.3843 |
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- | 5.7152 | 10.0 | 90 | 5.3843 |
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- | 5.6498 | 11.0 | 99 | 5.3843 |
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- | 5.7016 | 12.0 | 108 | 5.3843 |
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- | 5.7667 | 13.0 | 117 | 5.3843 |
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- | 5.8036 | 14.0 | 126 | 5.3843 |
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- | 5.7574 | 15.0 | 135 | 5.3843 |
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- | 5.7544 | 16.0 | 144 | 5.3843 |
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- | 5.8349 | 17.0 | 153 | 5.3843 |
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- | 5.7331 | 18.0 | 162 | 5.3843 |
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- | 5.7641 | 19.0 | 171 | 5.3843 |
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- | 5.7291 | 20.0 | 180 | 5.3843 |
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- | 5.7092 | 21.0 | 189 | 5.3843 |
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- | 5.7273 | 22.0 | 198 | 5.3843 |
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- | 5.7129 | 23.0 | 207 | 5.3843 |
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- | 5.8267 | 24.0 | 216 | 5.3843 |
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- | 5.7627 | 25.0 | 225 | 5.3843 |
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- | 5.7638 | 26.0 | 234 | 5.3843 |
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- | 5.7553 | 27.0 | 243 | 5.3843 |
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- | 5.788 | 28.0 | 252 | 5.3843 |
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- | 5.7027 | 29.0 | 261 | 5.3843 |
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- | 5.6985 | 30.0 | 270 | 5.3843 |
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- | 5.8034 | 31.0 | 279 | 5.3843 |
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- | 5.782 | 32.0 | 288 | 5.3843 |
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- | 5.6992 | 33.0 | 297 | 5.3843 |
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- | 5.7481 | 34.0 | 306 | 5.3843 |
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- | 5.7891 | 35.0 | 315 | 5.3843 |
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- | 5.7758 | 36.0 | 324 | 5.3843 |
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- | 5.7547 | 37.0 | 333 | 5.3843 |
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- | 5.6954 | 38.0 | 342 | 5.3843 |
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- | 5.6801 | 39.0 | 351 | 5.3843 |
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- | 5.7046 | 40.0 | 360 | 5.3843 |
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- | 5.736 | 41.0 | 369 | 5.3843 |
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- | 5.6998 | 42.0 | 378 | 5.3843 |
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- | 5.6998 | 43.0 | 387 | 5.3843 |
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- | 5.6717 | 44.0 | 396 | 5.3843 |
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- | 5.6654 | 45.0 | 405 | 5.3843 |
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- | 5.8135 | 46.0 | 414 | 5.3843 |
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- | 5.7329 | 47.0 | 423 | 5.3843 |
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- | 5.7371 | 48.0 | 432 | 5.3843 |
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- | 5.7067 | 49.0 | 441 | 5.3843 |
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- | 5.7458 | 50.0 | 450 | 5.3843 |
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- | 5.7449 | 51.0 | 459 | 5.3843 |
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- | 5.7108 | 52.0 | 468 | 5.3843 |
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- | 5.7417 | 53.0 | 477 | 5.3843 |
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- | 5.649 | 54.0 | 486 | 5.3843 |
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- | 5.7003 | 55.0 | 495 | 5.3843 |
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- | 5.6991 | 56.0 | 504 | 5.3843 |
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- | 5.7254 | 57.0 | 513 | 5.3843 |
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- | 5.6451 | 58.0 | 522 | 5.3843 |
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- | 5.7307 | 59.0 | 531 | 5.3843 |
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- | 5.7147 | 60.0 | 540 | 5.3843 |
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- | 5.7367 | 61.0 | 549 | 5.3843 |
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- | 5.7777 | 62.0 | 558 | 5.3843 |
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- | 5.7391 | 63.0 | 567 | 5.3843 |
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- | 5.724 | 64.0 | 576 | 5.3843 |
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- | 5.6895 | 65.0 | 585 | 5.3843 |
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- | 5.7747 | 66.0 | 594 | 5.3843 |
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- | 5.7587 | 67.0 | 603 | 5.3843 |
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- | 5.7292 | 68.0 | 612 | 5.3843 |
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- | 5.6624 | 69.0 | 621 | 5.3843 |
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- | 5.706 | 70.0 | 630 | 5.3843 |
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- | 5.7545 | 71.0 | 639 | 5.3843 |
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- | 5.6896 | 72.0 | 648 | 5.3843 |
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- | 5.7375 | 73.0 | 657 | 5.3843 |
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- | 5.7932 | 74.0 | 666 | 5.3843 |
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- | 5.6484 | 75.0 | 675 | 5.3843 |
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- | 5.6357 | 76.0 | 684 | 5.3843 |
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- | 5.7191 | 77.0 | 693 | 5.3843 |
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- | 5.7096 | 78.0 | 702 | 5.3843 |
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- | 5.6895 | 79.0 | 711 | 5.3843 |
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- | 5.7261 | 80.0 | 720 | 5.3843 |
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- | 5.7424 | 81.0 | 729 | 5.3843 |
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- | 5.7371 | 82.0 | 738 | 5.3843 |
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- | 5.622 | 83.0 | 747 | 5.3843 |
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- | 5.7272 | 84.0 | 756 | 5.3843 |
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- | 5.687 | 85.0 | 765 | 5.3843 |
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- | 5.6647 | 86.0 | 774 | 5.3843 |
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- | 5.7732 | 87.0 | 783 | 5.3843 |
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- | 5.754 | 88.0 | 792 | 5.3843 |
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- | 5.714 | 89.0 | 801 | 5.3843 |
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- | 5.7232 | 90.0 | 810 | 5.3843 |
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- | 5.7343 | 91.0 | 819 | 5.3843 |
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  | 5.6973 | 92.0 | 828 | 5.3843 |
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- | 5.7604 | 93.0 | 837 | 5.3843 |
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- | 5.6914 | 94.0 | 846 | 5.3843 |
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- | 5.7198 | 95.0 | 855 | 5.3843 |
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- | 5.6861 | 96.0 | 864 | 5.3843 |
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  | 5.7098 | 97.0 | 873 | 5.3843 |
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- | 5.6709 | 98.0 | 882 | 5.3843 |
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- | 5.7047 | 99.0 | 891 | 5.3843 |
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- | 5.7333 | 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: 0.0005
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 5.6809 | 1.0 | 9 | 5.3843 |
50
+ | 5.7615 | 2.0 | 18 | 5.3843 |
51
+ | 5.7319 | 3.0 | 27 | 5.3843 |
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+ | 5.6429 | 4.0 | 36 | 5.3843 |
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+ | 5.6983 | 5.0 | 45 | 5.3843 |
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+ | 5.6186 | 6.0 | 54 | 5.3843 |
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+ | 5.5697 | 7.0 | 63 | 5.3843 |
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+ | 5.5673 | 8.0 | 72 | 5.3843 |
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+ | 5.6199 | 9.0 | 81 | 5.3843 |
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+ | 5.597 | 10.0 | 90 | 5.3843 |
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+ | 5.5653 | 11.0 | 99 | 5.3843 |
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+ | 5.6109 | 12.0 | 108 | 5.3843 |
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+ | 5.6757 | 13.0 | 117 | 5.3843 |
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+ | 5.7026 | 14.0 | 126 | 5.3843 |
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+ | 5.6881 | 15.0 | 135 | 5.3843 |
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+ | 5.7037 | 16.0 | 144 | 5.3843 |
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+ | 5.76 | 17.0 | 153 | 5.3843 |
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+ | 5.686 | 18.0 | 162 | 5.3843 |
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+ | 5.7212 | 19.0 | 171 | 5.3843 |
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+ | 5.6704 | 20.0 | 180 | 5.3843 |
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+ | 5.6435 | 21.0 | 189 | 5.3843 |
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+ | 5.6823 | 22.0 | 198 | 5.3843 |
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+ | 5.6629 | 23.0 | 207 | 5.3843 |
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+ | 5.7627 | 24.0 | 216 | 5.3843 |
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+ | 5.7227 | 25.0 | 225 | 5.3843 |
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+ | 5.7222 | 26.0 | 234 | 5.3843 |
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+ | 5.7143 | 27.0 | 243 | 5.3843 |
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+ | 5.7558 | 28.0 | 252 | 5.3843 |
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+ | 5.6559 | 29.0 | 261 | 5.3843 |
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+ | 5.6523 | 30.0 | 270 | 5.3843 |
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+ | 5.7549 | 31.0 | 279 | 5.3843 |
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+ | 5.7464 | 32.0 | 288 | 5.3843 |
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+ | 5.6552 | 33.0 | 297 | 5.3843 |
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+ | 5.6991 | 34.0 | 306 | 5.3843 |
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+ | 5.7329 | 35.0 | 315 | 5.3843 |
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+ | 5.7286 | 36.0 | 324 | 5.3843 |
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+ | 5.7163 | 37.0 | 333 | 5.3843 |
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+ | 5.6581 | 38.0 | 342 | 5.3843 |
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+ | 5.6526 | 39.0 | 351 | 5.3843 |
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+ | 5.6776 | 40.0 | 360 | 5.3843 |
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+ | 5.6956 | 41.0 | 369 | 5.3843 |
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+ | 5.6797 | 42.0 | 378 | 5.3843 |
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+ | 5.6567 | 43.0 | 387 | 5.3843 |
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+ | 5.6412 | 44.0 | 396 | 5.3843 |
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+ | 5.6374 | 45.0 | 405 | 5.3843 |
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+ | 5.7867 | 46.0 | 414 | 5.3843 |
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+ | 5.707 | 47.0 | 423 | 5.3843 |
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+ | 5.7018 | 48.0 | 432 | 5.3843 |
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+ | 5.6958 | 49.0 | 441 | 5.3843 |
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+ | 5.7275 | 50.0 | 450 | 5.3843 |
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+ | 5.7302 | 51.0 | 459 | 5.3843 |
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+ | 5.6972 | 52.0 | 468 | 5.3843 |
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+ | 5.7182 | 53.0 | 477 | 5.3843 |
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+ | 5.623 | 54.0 | 486 | 5.3843 |
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+ | 5.6784 | 55.0 | 495 | 5.3843 |
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+ | 5.6812 | 56.0 | 504 | 5.3843 |
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+ | 5.7021 | 57.0 | 513 | 5.3843 |
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+ | 5.6217 | 58.0 | 522 | 5.3843 |
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+ | 5.707 | 59.0 | 531 | 5.3843 |
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+ | 5.6843 | 60.0 | 540 | 5.3843 |
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+ | 5.7203 | 61.0 | 549 | 5.3843 |
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+ | 5.7611 | 62.0 | 558 | 5.3843 |
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+ | 5.7142 | 63.0 | 567 | 5.3843 |
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+ | 5.7084 | 64.0 | 576 | 5.3843 |
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+ | 5.6682 | 65.0 | 585 | 5.3843 |
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+ | 5.7663 | 66.0 | 594 | 5.3843 |
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+ | 5.7267 | 67.0 | 603 | 5.3843 |
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+ | 5.719 | 68.0 | 612 | 5.3843 |
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+ | 5.6434 | 69.0 | 621 | 5.3843 |
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+ | 5.6968 | 70.0 | 630 | 5.3843 |
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+ | 5.733 | 71.0 | 639 | 5.3843 |
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+ | 5.6765 | 72.0 | 648 | 5.3843 |
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+ | 5.723 | 73.0 | 657 | 5.3843 |
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+ | 5.7813 | 74.0 | 666 | 5.3843 |
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+ | 5.6422 | 75.0 | 675 | 5.3843 |
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+ | 5.6238 | 76.0 | 684 | 5.3843 |
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+ | 5.7058 | 77.0 | 693 | 5.3843 |
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+ | 5.6994 | 78.0 | 702 | 5.3843 |
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+ | 5.6775 | 79.0 | 711 | 5.3843 |
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+ | 5.7207 | 80.0 | 720 | 5.3843 |
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+ | 5.7289 | 81.0 | 729 | 5.3843 |
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+ | 5.7381 | 82.0 | 738 | 5.3843 |
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+ | 5.6058 | 83.0 | 747 | 5.3843 |
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+ | 5.6862 | 96.0 | 864 | 5.3843 |
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+ | 5.706 | 99.0 | 891 | 5.3843 |
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+ | 5.7479 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
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