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

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Safetensors
distilbert
Generated from Trainer
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28587e4
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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_06-33-15_Software-AI/events.out.tfevents.1709694195.Software-AI.1931944.43 +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: 3.125e-05
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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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- | 5.4933 | 1.0 | 9 | 5.3843 |
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- | 5.6344 | 2.0 | 18 | 5.3843 |
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- | 5.6196 | 3.0 | 27 | 5.3843 |
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- | 5.5859 | 4.0 | 36 | 5.3843 |
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- | 5.6392 | 5.0 | 45 | 5.3843 |
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- | 5.5564 | 6.0 | 54 | 5.3843 |
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- | 5.5135 | 7.0 | 63 | 5.3843 |
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- | 5.5104 | 8.0 | 72 | 5.3843 |
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- | 5.5406 | 9.0 | 81 | 5.3843 |
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- | 5.5277 | 10.0 | 90 | 5.3843 |
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- | 5.5865 | 11.0 | 99 | 5.3843 |
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- | 5.6936 | 12.0 | 108 | 5.3843 |
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- | 5.7365 | 13.0 | 117 | 5.3843 |
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- | 5.7801 | 14.0 | 126 | 5.3843 |
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- | 5.8083 | 15.0 | 135 | 5.3843 |
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- | 5.7719 | 16.0 | 144 | 5.3843 |
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- | 5.8173 | 17.0 | 153 | 5.3843 |
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- | 5.7549 | 18.0 | 162 | 5.3843 |
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- | 5.8411 | 19.0 | 171 | 5.3843 |
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- | 5.727 | 20.0 | 180 | 5.3843 |
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- | 5.7375 | 21.0 | 189 | 5.3843 |
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- | 5.7384 | 22.0 | 198 | 5.3843 |
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- | 5.6939 | 23.0 | 207 | 5.3843 |
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- | 5.8041 | 24.0 | 216 | 5.3843 |
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- | 5.7752 | 25.0 | 225 | 5.3843 |
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- | 5.7902 | 26.0 | 234 | 5.3843 |
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- | 5.7714 | 27.0 | 243 | 5.3843 |
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- | 5.7672 | 28.0 | 252 | 5.3843 |
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- | 5.6625 | 29.0 | 261 | 5.3843 |
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- | 5.6665 | 30.0 | 270 | 5.3843 |
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- | 5.7769 | 31.0 | 279 | 5.3843 |
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- | 5.7573 | 32.0 | 288 | 5.3843 |
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- | 5.6809 | 33.0 | 297 | 5.3843 |
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- | 5.718 | 34.0 | 306 | 5.3843 |
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- | 5.7392 | 35.0 | 315 | 5.3843 |
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- | 5.7462 | 36.0 | 324 | 5.3843 |
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- | 5.7567 | 37.0 | 333 | 5.3843 |
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- | 5.6895 | 38.0 | 342 | 5.3843 |
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- | 5.6735 | 39.0 | 351 | 5.3843 |
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- | 5.6953 | 40.0 | 360 | 5.3843 |
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- | 5.6966 | 41.0 | 369 | 5.3843 |
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- | 5.6641 | 42.0 | 378 | 5.3843 |
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- | 5.6414 | 43.0 | 387 | 5.3843 |
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- | 5.609 | 44.0 | 396 | 5.3843 |
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- | 5.574 | 45.0 | 405 | 5.3843 |
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- | 5.7652 | 46.0 | 414 | 5.3843 |
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- | 5.6452 | 47.0 | 423 | 5.3843 |
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- | 5.5367 | 48.0 | 432 | 5.3843 |
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- | 5.4678 | 49.0 | 441 | 5.3843 |
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- | 5.5257 | 50.0 | 450 | 5.3843 |
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- | 5.4119 | 51.0 | 459 | 5.3843 |
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- | 5.4596 | 52.0 | 468 | 5.3843 |
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- | 5.5206 | 53.0 | 477 | 5.3843 |
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- | 5.5945 | 54.0 | 486 | 5.3843 |
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- | 5.5969 | 55.0 | 495 | 5.3843 |
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- | 5.641 | 56.0 | 504 | 5.3843 |
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- | 5.675 | 57.0 | 513 | 5.3843 |
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- | 5.6069 | 58.0 | 522 | 5.3843 |
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- | 5.6663 | 59.0 | 531 | 5.3843 |
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- | 5.6478 | 60.0 | 540 | 5.3843 |
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- | 5.6863 | 61.0 | 549 | 5.3843 |
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- | 5.6848 | 62.0 | 558 | 5.3843 |
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- | 5.6474 | 63.0 | 567 | 5.3843 |
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- | 5.6526 | 64.0 | 576 | 5.3843 |
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- | 5.609 | 65.0 | 585 | 5.3843 |
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- | 5.7395 | 66.0 | 594 | 5.3843 |
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- | 5.6551 | 67.0 | 603 | 5.3843 |
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- | 5.6875 | 68.0 | 612 | 5.3843 |
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- | 5.6133 | 69.0 | 621 | 5.3843 |
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- | 5.6646 | 70.0 | 630 | 5.3843 |
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- | 5.7059 | 71.0 | 639 | 5.3843 |
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- | 5.6499 | 72.0 | 648 | 5.3843 |
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- | 5.7002 | 73.0 | 657 | 5.3843 |
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- | 5.7446 | 74.0 | 666 | 5.3843 |
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- | 5.6249 | 75.0 | 675 | 5.3843 |
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- | 5.6091 | 76.0 | 684 | 5.3843 |
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- | 5.6908 | 77.0 | 693 | 5.3843 |
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- | 5.6592 | 78.0 | 702 | 5.3843 |
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- | 5.6578 | 79.0 | 711 | 5.3843 |
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- | 5.6969 | 80.0 | 720 | 5.3843 |
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- | 5.7033 | 81.0 | 729 | 5.3843 |
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- | 5.7326 | 82.0 | 738 | 5.3843 |
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- | 5.5633 | 83.0 | 747 | 5.3843 |
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- | 5.7094 | 84.0 | 756 | 5.3843 |
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- | 5.6849 | 85.0 | 765 | 5.3843 |
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- | 5.6635 | 86.0 | 774 | 5.3843 |
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- | 5.7502 | 87.0 | 783 | 5.3843 |
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- | 5.73 | 88.0 | 792 | 5.3843 |
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- | 5.684 | 89.0 | 801 | 5.3843 |
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- | 5.7088 | 90.0 | 810 | 5.3843 |
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- | 5.731 | 91.0 | 819 | 5.3843 |
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- | 5.7176 | 92.0 | 828 | 5.3843 |
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- | 5.7758 | 93.0 | 837 | 5.3843 |
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- | 5.7159 | 94.0 | 846 | 5.3843 |
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- | 5.741 | 95.0 | 855 | 5.3843 |
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- | 5.6875 | 96.0 | 864 | 5.3843 |
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- | 5.7253 | 97.0 | 873 | 5.3843 |
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- | 5.6702 | 98.0 | 882 | 5.3843 |
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- | 5.7145 | 99.0 | 891 | 5.3843 |
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- | 5.7643 | 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: 1.5625e-05
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.516 | 1.0 | 9 | 5.3843 |
50
+ | 5.6819 | 2.0 | 18 | 5.3843 |
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+ | 5.6642 | 3.0 | 27 | 5.3843 |
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+ | 5.6784 | 4.0 | 36 | 5.3843 |
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+ | 5.7293 | 5.0 | 45 | 5.3843 |
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+ | 5.6319 | 6.0 | 54 | 5.3843 |
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+ | 5.5675 | 7.0 | 63 | 5.3843 |
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+ | 5.5754 | 8.0 | 72 | 5.3843 |
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+ | 5.5738 | 9.0 | 81 | 5.3843 |
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+ | 5.5463 | 10.0 | 90 | 5.3843 |
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+ | 5.5646 | 11.0 | 99 | 5.3843 |
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+ | 5.6442 | 12.0 | 108 | 5.3843 |
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+ | 5.6943 | 13.0 | 117 | 5.3843 |
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+ | 5.7267 | 14.0 | 126 | 5.3843 |
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+ | 5.7527 | 15.0 | 135 | 5.3843 |
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+ | 5.7328 | 16.0 | 144 | 5.3843 |
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+ | 5.772 | 17.0 | 153 | 5.3843 |
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+ | 5.7281 | 18.0 | 162 | 5.3843 |
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+ | 5.8104 | 19.0 | 171 | 5.3843 |
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+ | 5.6998 | 20.0 | 180 | 5.3843 |
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+ | 5.6852 | 21.0 | 189 | 5.3843 |
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+ | 5.7193 | 22.0 | 198 | 5.3843 |
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+ | 5.6725 | 23.0 | 207 | 5.3843 |
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+ | 5.7762 | 24.0 | 216 | 5.3843 |
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+ | 5.7551 | 25.0 | 225 | 5.3843 |
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+ | 5.7654 | 26.0 | 234 | 5.3843 |
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+ | 5.747 | 27.0 | 243 | 5.3843 |
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+ | 5.7506 | 28.0 | 252 | 5.3843 |
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+ | 5.6511 | 29.0 | 261 | 5.3843 |
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+ | 5.6467 | 30.0 | 270 | 5.3843 |
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+ | 5.7646 | 31.0 | 279 | 5.3843 |
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+ | 5.7371 | 32.0 | 288 | 5.3843 |
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+ | 5.6545 | 33.0 | 297 | 5.3843 |
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+ | 5.697 | 34.0 | 306 | 5.3843 |
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+ | 5.7188 | 35.0 | 315 | 5.3843 |
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+ | 5.722 | 36.0 | 324 | 5.3843 |
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+ | 5.7334 | 37.0 | 333 | 5.3843 |
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+ | 5.6668 | 38.0 | 342 | 5.3843 |
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+ | 5.6502 | 39.0 | 351 | 5.3843 |
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+ | 5.6821 | 40.0 | 360 | 5.3843 |
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+ | 5.6731 | 41.0 | 369 | 5.3843 |
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+ | 5.6518 | 42.0 | 378 | 5.3843 |
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+ | 5.6366 | 43.0 | 387 | 5.3843 |
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+ | 5.592 | 44.0 | 396 | 5.3843 |
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+ | 5.535 | 45.0 | 405 | 5.3843 |
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+ | 5.7391 | 46.0 | 414 | 5.3843 |
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+ | 5.6139 | 47.0 | 423 | 5.3843 |
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+ | 5.4952 | 48.0 | 432 | 5.3843 |
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+ | 5.4568 | 49.0 | 441 | 5.3843 |
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+ | 5.5134 | 50.0 | 450 | 5.3843 |
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+ | 5.4042 | 51.0 | 459 | 5.3843 |
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+ | 5.3945 | 52.0 | 468 | 5.3843 |
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+ | 5.4445 | 53.0 | 477 | 5.3843 |
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+ | 5.5949 | 54.0 | 486 | 5.3843 |
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+ | 5.5714 | 55.0 | 495 | 5.3843 |
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+ | 5.634 | 56.0 | 504 | 5.3843 |
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+ | 5.6749 | 57.0 | 513 | 5.3843 |
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+ | 5.6037 | 58.0 | 522 | 5.3843 |
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+ | 5.6644 | 59.0 | 531 | 5.3843 |
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+ | 5.6502 | 60.0 | 540 | 5.3843 |
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+ | 5.6908 | 61.0 | 549 | 5.3843 |
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+ | 5.6443 | 62.0 | 558 | 5.3843 |
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+ | 5.6229 | 63.0 | 567 | 5.3843 |
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+ | 5.6438 | 64.0 | 576 | 5.3843 |
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+ | 5.6015 | 65.0 | 585 | 5.3843 |
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+ | 5.7409 | 66.0 | 594 | 5.3843 |
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+ | 5.6405 | 67.0 | 603 | 5.3843 |
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+ | 5.6847 | 68.0 | 612 | 5.3843 |
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+ | 5.6063 | 69.0 | 621 | 5.3843 |
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+ | 5.6706 | 70.0 | 630 | 5.3843 |
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+ | 5.7099 | 71.0 | 639 | 5.3843 |
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+ | 5.6564 | 72.0 | 648 | 5.3843 |
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+ | 5.7039 | 73.0 | 657 | 5.3843 |
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+ | 5.7456 | 74.0 | 666 | 5.3843 |
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+ | 5.6284 | 75.0 | 675 | 5.3843 |
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+ | 5.6128 | 76.0 | 684 | 5.3843 |
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+ | 5.6957 | 77.0 | 693 | 5.3843 |
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+ | 5.6523 | 78.0 | 702 | 5.3843 |
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+ | 5.6591 | 79.0 | 711 | 5.3843 |
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+ | 5.6989 | 80.0 | 720 | 5.3843 |
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+ | 5.708 | 81.0 | 729 | 5.3843 |
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+ | 5.7159 | 99.0 | 891 | 5.3843 |
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+ | 5.7651 | 100.0 | 900 | 5.3843 |
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  ### Framework versions
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