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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 +95 -95
  2. model.safetensors +1 -1
  3. runs/Mar06_17-19-54_Software-AI/events.out.tfevents.1709732995.Software-AI.118212.24 +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: 1e-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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- | 5.5017 | 1.0 | 9 | 5.3843 |
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- | 5.7012 | 2.0 | 18 | 5.3843 |
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- | 5.6839 | 3.0 | 27 | 5.3843 |
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- | 5.7302 | 4.0 | 36 | 5.3843 |
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- | 5.769 | 5.0 | 45 | 5.3843 |
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- | 5.7295 | 6.0 | 54 | 5.3843 |
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- | 5.6525 | 7.0 | 63 | 5.3843 |
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- | 5.6818 | 8.0 | 72 | 5.3843 |
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- | 5.6461 | 9.0 | 81 | 5.3843 |
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- | 5.6099 | 10.0 | 90 | 5.3843 |
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- | 5.5612 | 11.0 | 99 | 5.3843 |
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- | 5.6139 | 12.0 | 108 | 5.3843 |
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- | 5.6808 | 13.0 | 117 | 5.3843 |
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- | 5.7001 | 14.0 | 126 | 5.3843 |
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- | 5.6942 | 15.0 | 135 | 5.3843 |
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  | 5.7421 | 16.0 | 144 | 5.3843 |
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- | 5.7585 | 17.0 | 153 | 5.3843 |
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- | 5.7123 | 18.0 | 162 | 5.3843 |
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- | 5.7878 | 19.0 | 171 | 5.3843 |
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- | 5.7023 | 20.0 | 180 | 5.3843 |
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- | 5.653 | 21.0 | 189 | 5.3843 |
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- | 5.7152 | 22.0 | 198 | 5.3843 |
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- | 5.6858 | 23.0 | 207 | 5.3843 |
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- | 5.7898 | 24.0 | 216 | 5.3843 |
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- | 5.734 | 25.0 | 225 | 5.3843 |
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- | 5.7448 | 26.0 | 234 | 5.3843 |
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- | 5.7338 | 27.0 | 243 | 5.3843 |
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- | 5.7522 | 28.0 | 252 | 5.3843 |
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- | 5.65 | 29.0 | 261 | 5.3843 |
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- | 5.6469 | 30.0 | 270 | 5.3843 |
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- | 5.7474 | 31.0 | 279 | 5.3843 |
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  | 5.7255 | 32.0 | 288 | 5.3843 |
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- | 5.6088 | 33.0 | 297 | 5.3843 |
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- | 5.6751 | 34.0 | 306 | 5.3843 |
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- | 5.6928 | 35.0 | 315 | 5.3843 |
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- | 5.6834 | 36.0 | 324 | 5.3843 |
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- | 5.6899 | 37.0 | 333 | 5.3843 |
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  | 5.609 | 38.0 | 342 | 5.3843 |
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- | 5.6203 | 39.0 | 351 | 5.3843 |
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- | 5.6392 | 40.0 | 360 | 5.3843 |
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- | 5.6348 | 41.0 | 369 | 5.3843 |
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- | 5.5668 | 42.0 | 378 | 5.3843 |
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- | 5.4972 | 43.0 | 387 | 5.3843 |
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- | 5.5168 | 44.0 | 396 | 5.3843 |
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- | 5.4653 | 45.0 | 405 | 5.3843 |
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- | 5.7144 | 46.0 | 414 | 5.3843 |
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- | 5.5774 | 47.0 | 423 | 5.3843 |
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- | 5.4571 | 48.0 | 432 | 5.3843 |
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- | 5.3971 | 49.0 | 441 | 5.3843 |
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- | 5.5262 | 50.0 | 450 | 5.3843 |
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- | 5.4401 | 51.0 | 459 | 5.3843 |
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- | 5.4799 | 52.0 | 468 | 5.3843 |
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- | 5.5087 | 53.0 | 477 | 5.3843 |
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- | 5.5613 | 54.0 | 486 | 5.3843 |
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- | 5.5831 | 55.0 | 495 | 5.3843 |
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- | 5.6555 | 56.0 | 504 | 5.3843 |
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- | 5.6397 | 57.0 | 513 | 5.3843 |
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- | 5.6015 | 58.0 | 522 | 5.3843 |
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- | 5.6421 | 59.0 | 531 | 5.3843 |
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  | 5.6258 | 60.0 | 540 | 5.3843 |
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- | 5.6673 | 61.0 | 549 | 5.3843 |
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- | 5.6113 | 62.0 | 558 | 5.3843 |
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- | 5.6135 | 63.0 | 567 | 5.3843 |
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- | 5.6344 | 64.0 | 576 | 5.3843 |
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- | 5.5932 | 65.0 | 585 | 5.3843 |
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- | 5.7093 | 66.0 | 594 | 5.3843 |
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- | 5.6251 | 67.0 | 603 | 5.3843 |
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  | 5.6717 | 68.0 | 612 | 5.3843 |
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- | 5.5942 | 69.0 | 621 | 5.3843 |
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- | 5.6604 | 70.0 | 630 | 5.3843 |
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- | 5.706 | 71.0 | 639 | 5.3843 |
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- | 5.6569 | 72.0 | 648 | 5.3843 |
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- | 5.7052 | 73.0 | 657 | 5.3843 |
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- | 5.7474 | 74.0 | 666 | 5.3843 |
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- | 5.5965 | 75.0 | 675 | 5.3843 |
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- | 5.6006 | 76.0 | 684 | 5.3843 |
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- | 5.6949 | 77.0 | 693 | 5.3843 |
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- | 5.6566 | 78.0 | 702 | 5.3843 |
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- | 5.6536 | 79.0 | 711 | 5.3843 |
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  | 5.6949 | 80.0 | 720 | 5.3843 |
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- | 5.7124 | 81.0 | 729 | 5.3843 |
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- | 5.7382 | 82.0 | 738 | 5.3843 |
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- | 5.5268 | 83.0 | 747 | 5.3843 |
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- | 5.7072 | 84.0 | 756 | 5.3843 |
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- | 5.6821 | 85.0 | 765 | 5.3843 |
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- | 5.6576 | 86.0 | 774 | 5.3843 |
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- | 5.7383 | 87.0 | 783 | 5.3843 |
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- | 5.7341 | 88.0 | 792 | 5.3843 |
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- | 5.6926 | 89.0 | 801 | 5.3843 |
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- | 5.7076 | 90.0 | 810 | 5.3843 |
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- | 5.7216 | 91.0 | 819 | 5.3843 |
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- | 5.7351 | 92.0 | 828 | 5.3843 |
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- | 5.7752 | 93.0 | 837 | 5.3843 |
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- | 5.718 | 94.0 | 846 | 5.3843 |
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- | 5.7545 | 95.0 | 855 | 5.3843 |
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- | 5.6996 | 96.0 | 864 | 5.3843 |
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- | 5.7392 | 97.0 | 873 | 5.3843 |
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- | 5.6636 | 98.0 | 882 | 5.3843 |
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- | 5.7202 | 99.0 | 891 | 5.3843 |
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- | 5.7776 | 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: 5e-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
+ | 5.4993 | 1.0 | 9 | 5.3843 |
50
+ | 5.699 | 2.0 | 18 | 5.3843 |
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+ | 5.6822 | 3.0 | 27 | 5.3843 |
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+ | 5.73 | 4.0 | 36 | 5.3843 |
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+ | 5.7681 | 5.0 | 45 | 5.3843 |
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+ | 5.7278 | 6.0 | 54 | 5.3843 |
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+ | 5.6512 | 7.0 | 63 | 5.3843 |
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+ | 5.6809 | 8.0 | 72 | 5.3843 |
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+ | 5.6445 | 9.0 | 81 | 5.3843 |
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+ | 5.6103 | 10.0 | 90 | 5.3843 |
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+ | 5.5618 | 11.0 | 99 | 5.3843 |
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+ | 5.6146 | 12.0 | 108 | 5.3843 |
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+ | 5.6812 | 13.0 | 117 | 5.3843 |
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+ | 5.6997 | 14.0 | 126 | 5.3843 |
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+ | 5.6937 | 15.0 | 135 | 5.3843 |
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  | 5.7421 | 16.0 | 144 | 5.3843 |
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+ | 5.7578 | 17.0 | 153 | 5.3843 |
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+ | 5.7131 | 18.0 | 162 | 5.3843 |
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+ | 5.7885 | 19.0 | 171 | 5.3843 |
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+ | 5.703 | 20.0 | 180 | 5.3843 |
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+ | 5.6515 | 21.0 | 189 | 5.3843 |
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+ | 5.716 | 22.0 | 198 | 5.3843 |
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+ | 5.6864 | 23.0 | 207 | 5.3843 |
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+ | 5.7902 | 24.0 | 216 | 5.3843 |
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+ | 5.7353 | 25.0 | 225 | 5.3843 |
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+ | 5.7454 | 26.0 | 234 | 5.3843 |
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+ | 5.7347 | 27.0 | 243 | 5.3843 |
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+ | 5.7535 | 28.0 | 252 | 5.3843 |
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+ | 5.6512 | 29.0 | 261 | 5.3843 |
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+ | 5.6468 | 30.0 | 270 | 5.3843 |
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+ | 5.7479 | 31.0 | 279 | 5.3843 |
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  | 5.7255 | 32.0 | 288 | 5.3843 |
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+ | 5.6075 | 33.0 | 297 | 5.3843 |
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+ | 5.6738 | 34.0 | 306 | 5.3843 |
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+ | 5.6924 | 35.0 | 315 | 5.3843 |
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+ | 5.6824 | 36.0 | 324 | 5.3843 |
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+ | 5.6895 | 37.0 | 333 | 5.3843 |
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  | 5.609 | 38.0 | 342 | 5.3843 |
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+ | 5.619 | 39.0 | 351 | 5.3843 |
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+ | 5.6387 | 40.0 | 360 | 5.3843 |
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+ | 5.6328 | 41.0 | 369 | 5.3843 |
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+ | 5.5638 | 42.0 | 378 | 5.3843 |
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+ | 5.4918 | 43.0 | 387 | 5.3843 |
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+ | 5.5137 | 44.0 | 396 | 5.3843 |
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+ | 5.4622 | 45.0 | 405 | 5.3843 |
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+ | 5.7122 | 46.0 | 414 | 5.3843 |
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+ | 5.5745 | 47.0 | 423 | 5.3843 |
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+ | 5.4512 | 48.0 | 432 | 5.3843 |
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+ | 5.3932 | 49.0 | 441 | 5.3843 |
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+ | 5.5225 | 50.0 | 450 | 5.3843 |
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+ | 5.4372 | 51.0 | 459 | 5.3843 |
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+ | 5.4769 | 52.0 | 468 | 5.3843 |
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+ | 5.5071 | 53.0 | 477 | 5.3843 |
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+ | 5.5614 | 54.0 | 486 | 5.3843 |
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+ | 5.5835 | 55.0 | 495 | 5.3843 |
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+ | 5.656 | 56.0 | 504 | 5.3843 |
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+ | 5.64 | 57.0 | 513 | 5.3843 |
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+ | 5.6019 | 58.0 | 522 | 5.3843 |
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+ | 5.6425 | 59.0 | 531 | 5.3843 |
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  | 5.6258 | 60.0 | 540 | 5.3843 |
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+ | 5.6676 | 61.0 | 549 | 5.3843 |
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+ | 5.6117 | 62.0 | 558 | 5.3843 |
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+ | 5.6138 | 63.0 | 567 | 5.3843 |
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+ | 5.6346 | 64.0 | 576 | 5.3843 |
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+ | 5.5933 | 65.0 | 585 | 5.3843 |
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+ | 5.709 | 66.0 | 594 | 5.3843 |
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+ | 5.6246 | 67.0 | 603 | 5.3843 |
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  | 5.6717 | 68.0 | 612 | 5.3843 |
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+ | 5.5944 | 69.0 | 621 | 5.3843 |
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+ | 5.6607 | 70.0 | 630 | 5.3843 |
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+ | 5.7065 | 71.0 | 639 | 5.3843 |
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+ | 5.6574 | 72.0 | 648 | 5.3843 |
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+ | 5.7057 | 73.0 | 657 | 5.3843 |
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+ | 5.7481 | 74.0 | 666 | 5.3843 |
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+ | 5.5961 | 75.0 | 675 | 5.3843 |
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+ | 5.6005 | 76.0 | 684 | 5.3843 |
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+ | 5.6952 | 77.0 | 693 | 5.3843 |
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+ | 5.6571 | 78.0 | 702 | 5.3843 |
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+ | 5.6537 | 79.0 | 711 | 5.3843 |
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+ | 5.7129 | 81.0 | 729 | 5.3843 |
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+ | 5.7784 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
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