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

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distilbert
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3aaa102
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End of training

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Files changed (4) hide show
  1. README.md +63 -63
  2. model.safetensors +1 -1
  3. runs/Mar06_17-45-12_Software-AI/events.out.tfevents.1709734512.Software-AI.118212.27 +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: 1.25e-08
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
@@ -46,63 +46,63 @@ 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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- | 5.4977 | 1.0 | 9 | 5.3843 |
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- | 5.6976 | 2.0 | 18 | 5.3843 |
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- | 5.6811 | 3.0 | 27 | 5.3843 |
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  | 5.7298 | 4.0 | 36 | 5.3843 |
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- | 5.7676 | 5.0 | 45 | 5.3843 |
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- | 5.7267 | 6.0 | 54 | 5.3843 |
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- | 5.6503 | 7.0 | 63 | 5.3843 |
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- | 5.6804 | 8.0 | 72 | 5.3843 |
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- | 5.6435 | 9.0 | 81 | 5.3843 |
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- | 5.6106 | 10.0 | 90 | 5.3843 |
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- | 5.5623 | 11.0 | 99 | 5.3843 |
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- | 5.615 | 12.0 | 108 | 5.3843 |
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- | 5.6814 | 13.0 | 117 | 5.3843 |
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- | 5.6994 | 14.0 | 126 | 5.3843 |
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- | 5.6934 | 15.0 | 135 | 5.3843 |
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  | 5.7421 | 16.0 | 144 | 5.3843 |
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- | 5.7574 | 17.0 | 153 | 5.3843 |
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- | 5.7136 | 18.0 | 162 | 5.3843 |
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- | 5.789 | 19.0 | 171 | 5.3843 |
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- | 5.7034 | 20.0 | 180 | 5.3843 |
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- | 5.6505 | 21.0 | 189 | 5.3843 |
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- | 5.7165 | 22.0 | 198 | 5.3843 |
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  | 5.6868 | 23.0 | 207 | 5.3843 |
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- | 5.7904 | 24.0 | 216 | 5.3843 |
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- | 5.7361 | 25.0 | 225 | 5.3843 |
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- | 5.7458 | 26.0 | 234 | 5.3843 |
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- | 5.7353 | 27.0 | 243 | 5.3843 |
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- | 5.7543 | 28.0 | 252 | 5.3843 |
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- | 5.6521 | 29.0 | 261 | 5.3843 |
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  | 5.6467 | 30.0 | 270 | 5.3843 |
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- | 5.7482 | 31.0 | 279 | 5.3843 |
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  | 5.7255 | 32.0 | 288 | 5.3843 |
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- | 5.6066 | 33.0 | 297 | 5.3843 |
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- | 5.673 | 34.0 | 306 | 5.3843 |
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  | 5.6922 | 35.0 | 315 | 5.3843 |
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- | 5.6818 | 36.0 | 324 | 5.3843 |
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  | 5.6892 | 37.0 | 333 | 5.3843 |
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  | 5.609 | 38.0 | 342 | 5.3843 |
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- | 5.6181 | 39.0 | 351 | 5.3843 |
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  | 5.6384 | 40.0 | 360 | 5.3843 |
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- | 5.6314 | 41.0 | 369 | 5.3843 |
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- | 5.5618 | 42.0 | 378 | 5.3843 |
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- | 5.4882 | 43.0 | 387 | 5.3843 |
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- | 5.5117 | 44.0 | 396 | 5.3843 |
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- | 5.4601 | 45.0 | 405 | 5.3843 |
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- | 5.7107 | 46.0 | 414 | 5.3843 |
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- | 5.5726 | 47.0 | 423 | 5.3843 |
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- | 5.4473 | 48.0 | 432 | 5.3843 |
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- | 5.3907 | 49.0 | 441 | 5.3843 |
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- | 5.5201 | 50.0 | 450 | 5.3843 |
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- | 5.4353 | 51.0 | 459 | 5.3843 |
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- | 5.475 | 52.0 | 468 | 5.3843 |
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- | 5.5061 | 53.0 | 477 | 5.3843 |
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  | 5.5615 | 54.0 | 486 | 5.3843 |
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  | 5.5838 | 55.0 | 495 | 5.3843 |
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- | 5.6563 | 56.0 | 504 | 5.3843 |
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- | 5.6401 | 57.0 | 513 | 5.3843 |
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  | 5.6022 | 58.0 | 522 | 5.3843 |
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  | 5.6428 | 59.0 | 531 | 5.3843 |
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  | 5.6259 | 60.0 | 540 | 5.3843 |
@@ -111,41 +111,41 @@ The following hyperparameters were used during training:
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  | 5.614 | 63.0 | 567 | 5.3843 |
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  | 5.6349 | 64.0 | 576 | 5.3843 |
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  | 5.5935 | 65.0 | 585 | 5.3843 |
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- | 5.7088 | 66.0 | 594 | 5.3843 |
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  | 5.6243 | 67.0 | 603 | 5.3843 |
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  | 5.6718 | 68.0 | 612 | 5.3843 |
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  | 5.5945 | 69.0 | 621 | 5.3843 |
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  | 5.6609 | 70.0 | 630 | 5.3843 |
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- | 5.7068 | 71.0 | 639 | 5.3843 |
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- | 5.6577 | 72.0 | 648 | 5.3843 |
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  | 5.706 | 73.0 | 657 | 5.3843 |
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- | 5.7485 | 74.0 | 666 | 5.3843 |
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- | 5.5959 | 75.0 | 675 | 5.3843 |
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  | 5.6005 | 76.0 | 684 | 5.3843 |
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  | 5.6954 | 77.0 | 693 | 5.3843 |
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- | 5.6575 | 78.0 | 702 | 5.3843 |
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  | 5.6537 | 79.0 | 711 | 5.3843 |
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  | 5.6949 | 80.0 | 720 | 5.3843 |
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- | 5.7133 | 81.0 | 729 | 5.3843 |
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- | 5.739 | 82.0 | 738 | 5.3843 |
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  | 5.5262 | 83.0 | 747 | 5.3843 |
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  | 5.7075 | 84.0 | 756 | 5.3843 |
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- | 5.6826 | 85.0 | 765 | 5.3843 |
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  | 5.6573 | 86.0 | 774 | 5.3843 |
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- | 5.7381 | 87.0 | 783 | 5.3843 |
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  | 5.7347 | 88.0 | 792 | 5.3843 |
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- | 5.6937 | 89.0 | 801 | 5.3843 |
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  | 5.7081 | 90.0 | 810 | 5.3843 |
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  | 5.7208 | 91.0 | 819 | 5.3843 |
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- | 5.7366 | 92.0 | 828 | 5.3843 |
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  | 5.7761 | 93.0 | 837 | 5.3843 |
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- | 5.7186 | 94.0 | 846 | 5.3843 |
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- | 5.7558 | 95.0 | 855 | 5.3843 |
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  | 5.7001 | 96.0 | 864 | 5.3843 |
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- | 5.7401 | 97.0 | 873 | 5.3843 |
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  | 5.6641 | 98.0 | 882 | 5.3843 |
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  | 5.7209 | 99.0 | 891 | 5.3843 |
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- | 5.779 | 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: 6.25e-09
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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+ | 5.4975 | 1.0 | 9 | 5.3843 |
50
+ | 5.6974 | 2.0 | 18 | 5.3843 |
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+ | 5.681 | 3.0 | 27 | 5.3843 |
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  | 5.7298 | 4.0 | 36 | 5.3843 |
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+ | 5.7675 | 5.0 | 45 | 5.3843 |
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+ | 5.7265 | 6.0 | 54 | 5.3843 |
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+ | 5.6502 | 7.0 | 63 | 5.3843 |
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+ | 5.6803 | 8.0 | 72 | 5.3843 |
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+ | 5.6433 | 9.0 | 81 | 5.3843 |
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+ | 5.6107 | 10.0 | 90 | 5.3843 |
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+ | 5.5624 | 11.0 | 99 | 5.3843 |
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+ | 5.6151 | 12.0 | 108 | 5.3843 |
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+ | 5.6815 | 13.0 | 117 | 5.3843 |
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+ | 5.6993 | 14.0 | 126 | 5.3843 |
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+ | 5.6933 | 15.0 | 135 | 5.3843 |
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  | 5.7421 | 16.0 | 144 | 5.3843 |
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+ | 5.7573 | 17.0 | 153 | 5.3843 |
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+ | 5.7137 | 18.0 | 162 | 5.3843 |
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+ | 5.7891 | 19.0 | 171 | 5.3843 |
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+ | 5.7035 | 20.0 | 180 | 5.3843 |
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+ | 5.6504 | 21.0 | 189 | 5.3843 |
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+ | 5.7166 | 22.0 | 198 | 5.3843 |
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  | 5.6868 | 23.0 | 207 | 5.3843 |
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+ | 5.7905 | 24.0 | 216 | 5.3843 |
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+ | 5.7363 | 25.0 | 225 | 5.3843 |
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+ | 5.7459 | 26.0 | 234 | 5.3843 |
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+ | 5.7354 | 27.0 | 243 | 5.3843 |
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+ | 5.7545 | 28.0 | 252 | 5.3843 |
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+ | 5.6522 | 29.0 | 261 | 5.3843 |
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  | 5.6467 | 30.0 | 270 | 5.3843 |
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+ | 5.7483 | 31.0 | 279 | 5.3843 |
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  | 5.7255 | 32.0 | 288 | 5.3843 |
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+ | 5.6064 | 33.0 | 297 | 5.3843 |
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+ | 5.6728 | 34.0 | 306 | 5.3843 |
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  | 5.6922 | 35.0 | 315 | 5.3843 |
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+ | 5.6817 | 36.0 | 324 | 5.3843 |
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  | 5.6892 | 37.0 | 333 | 5.3843 |
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  | 5.609 | 38.0 | 342 | 5.3843 |
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+ | 5.6179 | 39.0 | 351 | 5.3843 |
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  | 5.6384 | 40.0 | 360 | 5.3843 |
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+ | 5.6311 | 41.0 | 369 | 5.3843 |
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+ | 5.5614 | 42.0 | 378 | 5.3843 |
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+ | 5.4875 | 43.0 | 387 | 5.3843 |
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+ | 5.5113 | 44.0 | 396 | 5.3843 |
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+ | 5.4597 | 45.0 | 405 | 5.3843 |
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+ | 5.7105 | 46.0 | 414 | 5.3843 |
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+ | 5.5722 | 47.0 | 423 | 5.3843 |
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+ | 5.4466 | 48.0 | 432 | 5.3843 |
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+ | 5.3902 | 49.0 | 441 | 5.3843 |
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+ | 5.5197 | 50.0 | 450 | 5.3843 |
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+ | 5.4349 | 51.0 | 459 | 5.3843 |
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+ | 5.4746 | 52.0 | 468 | 5.3843 |
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+ | 5.5058 | 53.0 | 477 | 5.3843 |
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  | 5.5615 | 54.0 | 486 | 5.3843 |
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  | 5.5838 | 55.0 | 495 | 5.3843 |
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+ | 5.6564 | 56.0 | 504 | 5.3843 |
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+ | 5.6402 | 57.0 | 513 | 5.3843 |
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  | 5.6022 | 58.0 | 522 | 5.3843 |
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  | 5.6428 | 59.0 | 531 | 5.3843 |
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  | 5.6259 | 60.0 | 540 | 5.3843 |
 
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  | 5.614 | 63.0 | 567 | 5.3843 |
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  | 5.6349 | 64.0 | 576 | 5.3843 |
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  | 5.5935 | 65.0 | 585 | 5.3843 |
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+ | 5.7087 | 66.0 | 594 | 5.3843 |
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  | 5.6243 | 67.0 | 603 | 5.3843 |
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  | 5.6718 | 68.0 | 612 | 5.3843 |
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  | 5.5945 | 69.0 | 621 | 5.3843 |
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  | 5.6609 | 70.0 | 630 | 5.3843 |
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+ | 5.7069 | 71.0 | 639 | 5.3843 |
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+ | 5.6578 | 72.0 | 648 | 5.3843 |
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  | 5.706 | 73.0 | 657 | 5.3843 |
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+ | 5.7486 | 74.0 | 666 | 5.3843 |
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+ | 5.5958 | 75.0 | 675 | 5.3843 |
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  | 5.6005 | 76.0 | 684 | 5.3843 |
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  | 5.6954 | 77.0 | 693 | 5.3843 |
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+ | 5.6576 | 78.0 | 702 | 5.3843 |
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  | 5.6537 | 79.0 | 711 | 5.3843 |
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  | 5.6949 | 80.0 | 720 | 5.3843 |
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+ | 5.7134 | 81.0 | 729 | 5.3843 |
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+ | 5.7391 | 82.0 | 738 | 5.3843 |
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  | 5.5262 | 83.0 | 747 | 5.3843 |
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  | 5.7075 | 84.0 | 756 | 5.3843 |
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+ | 5.7791 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
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