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finetuned-model

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Safetensors
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  1. README.md +102 -5
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.6696
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  ## Model description
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@@ -40,15 +40,112 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 6 | 6.6766 |
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- | No log | 2.0 | 12 | 6.6715 |
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- | No log | 3.0 | 18 | 6.6696 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.1626
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 6 | 6.6915 |
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+ | No log | 2.0 | 12 | 6.6732 |
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+ | No log | 3.0 | 18 | 6.6555 |
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+ | No log | 4.0 | 24 | 6.6385 |
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+ | No log | 5.0 | 30 | 6.6222 |
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+ | No log | 6.0 | 36 | 6.6063 |
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+ | No log | 7.0 | 42 | 6.5910 |
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+ | No log | 8.0 | 48 | 6.5760 |
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+ | No log | 9.0 | 54 | 6.5617 |
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+ | No log | 10.0 | 60 | 6.5482 |
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+ | No log | 11.0 | 66 | 6.5351 |
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+ | No log | 12.0 | 72 | 6.5223 |
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+ | No log | 13.0 | 78 | 6.5101 |
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+ | No log | 14.0 | 84 | 6.4982 |
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+ | No log | 15.0 | 90 | 6.4869 |
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+ | No log | 16.0 | 96 | 6.4758 |
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+ | No log | 17.0 | 102 | 6.4653 |
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+ | No log | 18.0 | 108 | 6.4551 |
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+ | No log | 19.0 | 114 | 6.4453 |
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+ | No log | 20.0 | 120 | 6.4357 |
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+ | No log | 21.0 | 126 | 6.4266 |
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+ | No log | 22.0 | 132 | 6.4177 |
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+ | No log | 23.0 | 138 | 6.4090 |
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+ | No log | 24.0 | 144 | 6.4006 |
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+ | No log | 25.0 | 150 | 6.3924 |
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+ | No log | 26.0 | 156 | 6.3845 |
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+ | No log | 27.0 | 162 | 6.3768 |
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+ | No log | 28.0 | 168 | 6.3696 |
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+ | No log | 29.0 | 174 | 6.3625 |
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+ | No log | 30.0 | 180 | 6.3557 |
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+ | No log | 31.0 | 186 | 6.3489 |
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+ | No log | 32.0 | 192 | 6.3423 |
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+ | No log | 33.0 | 198 | 6.3357 |
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+ | No log | 34.0 | 204 | 6.3294 |
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+ | No log | 35.0 | 210 | 6.3235 |
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+ | No log | 36.0 | 216 | 6.3176 |
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+ | No log | 37.0 | 222 | 6.3119 |
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+ | No log | 38.0 | 228 | 6.3064 |
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+ | No log | 39.0 | 234 | 6.3010 |
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+ | No log | 40.0 | 240 | 6.2957 |
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+ | No log | 41.0 | 246 | 6.2907 |
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+ | No log | 42.0 | 252 | 6.2859 |
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+ | No log | 43.0 | 258 | 6.2811 |
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+ | No log | 44.0 | 264 | 6.2765 |
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+ | No log | 45.0 | 270 | 6.2720 |
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+ | No log | 46.0 | 276 | 6.2675 |
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+ | No log | 47.0 | 282 | 6.2632 |
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+ | No log | 48.0 | 288 | 6.2590 |
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+ | No log | 49.0 | 294 | 6.2550 |
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+ | No log | 50.0 | 300 | 6.2511 |
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+ | No log | 51.0 | 306 | 6.2473 |
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+ | No log | 52.0 | 312 | 6.2437 |
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+ | No log | 53.0 | 318 | 6.2400 |
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+ | No log | 54.0 | 324 | 6.2365 |
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+ | No log | 55.0 | 330 | 6.2331 |
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+ | No log | 56.0 | 336 | 6.2298 |
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+ | No log | 57.0 | 342 | 6.2267 |
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+ | No log | 58.0 | 348 | 6.2237 |
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+ | No log | 59.0 | 354 | 6.2206 |
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+ | No log | 60.0 | 360 | 6.2177 |
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+ | No log | 61.0 | 366 | 6.2149 |
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+ | No log | 62.0 | 372 | 6.2121 |
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+ | No log | 63.0 | 378 | 6.2095 |
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+ | No log | 64.0 | 384 | 6.2068 |
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+ | No log | 65.0 | 390 | 6.2043 |
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+ | No log | 66.0 | 396 | 6.2019 |
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+ | No log | 67.0 | 402 | 6.1995 |
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+ | No log | 68.0 | 408 | 6.1973 |
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+ | No log | 69.0 | 414 | 6.1950 |
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+ | No log | 70.0 | 420 | 6.1929 |
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+ | No log | 71.0 | 426 | 6.1909 |
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+ | No log | 72.0 | 432 | 6.1889 |
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+ | No log | 73.0 | 438 | 6.1870 |
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+ | No log | 74.0 | 444 | 6.1851 |
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+ | No log | 75.0 | 450 | 6.1834 |
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+ | No log | 76.0 | 456 | 6.1817 |
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+ | No log | 77.0 | 462 | 6.1801 |
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+ | No log | 78.0 | 468 | 6.1786 |
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+ | No log | 79.0 | 474 | 6.1772 |
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+ | No log | 80.0 | 480 | 6.1758 |
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+ | No log | 81.0 | 486 | 6.1745 |
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+ | No log | 82.0 | 492 | 6.1733 |
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+ | No log | 83.0 | 498 | 6.1722 |
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+ | 6.7021 | 84.0 | 504 | 6.1711 |
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+ | 6.7021 | 85.0 | 510 | 6.1701 |
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+ | 6.7021 | 86.0 | 516 | 6.1691 |
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+ | 6.7021 | 87.0 | 522 | 6.1683 |
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+ | 6.7021 | 88.0 | 528 | 6.1674 |
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+ | 6.7021 | 89.0 | 534 | 6.1666 |
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+ | 6.7021 | 90.0 | 540 | 6.1660 |
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+ | 6.7021 | 91.0 | 546 | 6.1653 |
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+ | 6.7021 | 92.0 | 552 | 6.1647 |
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+ | 6.7021 | 93.0 | 558 | 6.1642 |
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+ | 6.7021 | 94.0 | 564 | 6.1638 |
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+ | 6.7021 | 95.0 | 570 | 6.1634 |
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+ | 6.7021 | 96.0 | 576 | 6.1631 |
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+ | 6.7021 | 97.0 | 582 | 6.1629 |
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+ | 6.7021 | 98.0 | 588 | 6.1627 |
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+ | 6.7021 | 99.0 | 594 | 6.1626 |
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+ | 6.7021 | 100.0 | 600 | 6.1626 |
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  ### Framework versions
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