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End of training

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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 [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.5722
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  ## Model description
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@@ -40,17 +40,62 @@ 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: 5
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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 | 39 | 7.7798 |
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- | No log | 2.0 | 78 | 6.6568 |
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- | No log | 3.0 | 117 | 6.0103 |
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- | No log | 4.0 | 156 | 5.6786 |
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- | No log | 5.0 | 195 | 5.5722 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5493
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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: 50
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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 | 39 | 3.2269 |
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+ | No log | 2.0 | 78 | 3.1520 |
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+ | No log | 3.0 | 117 | 3.0998 |
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+ | No log | 4.0 | 156 | 3.0586 |
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+ | No log | 5.0 | 195 | 3.0225 |
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+ | No log | 6.0 | 234 | 2.9860 |
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+ | No log | 7.0 | 273 | 2.9566 |
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+ | No log | 8.0 | 312 | 2.9297 |
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+ | No log | 9.0 | 351 | 2.9042 |
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+ | No log | 10.0 | 390 | 2.8782 |
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+ | No log | 11.0 | 429 | 2.8561 |
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+ | No log | 12.0 | 468 | 2.8347 |
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+ | 3.0074 | 13.0 | 507 | 2.8161 |
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+ | 3.0074 | 14.0 | 546 | 2.8003 |
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+ | 3.0074 | 15.0 | 585 | 2.7840 |
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+ | 3.0074 | 16.0 | 624 | 2.7666 |
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+ | 3.0074 | 17.0 | 663 | 2.7532 |
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+ | 3.0074 | 18.0 | 702 | 2.7404 |
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+ | 3.0074 | 19.0 | 741 | 2.7270 |
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+ | 3.0074 | 20.0 | 780 | 2.7158 |
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+ | 3.0074 | 21.0 | 819 | 2.7039 |
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+ | 3.0074 | 22.0 | 858 | 2.6945 |
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+ | 3.0074 | 23.0 | 897 | 2.6824 |
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+ | 3.0074 | 24.0 | 936 | 2.6743 |
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+ | 3.0074 | 25.0 | 975 | 2.6640 |
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+ | 2.7328 | 26.0 | 1014 | 2.6566 |
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+ | 2.7328 | 27.0 | 1053 | 2.6495 |
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+ | 2.7328 | 28.0 | 1092 | 2.6390 |
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+ | 2.7328 | 29.0 | 1131 | 2.6308 |
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+ | 2.7328 | 30.0 | 1170 | 2.6250 |
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+ | 2.7328 | 31.0 | 1209 | 2.6164 |
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+ | 2.7328 | 32.0 | 1248 | 2.6106 |
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+ | 2.7328 | 33.0 | 1287 | 2.6037 |
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+ | 2.7328 | 34.0 | 1326 | 2.5978 |
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+ | 2.7328 | 35.0 | 1365 | 2.5913 |
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+ | 2.7328 | 36.0 | 1404 | 2.5867 |
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+ | 2.7328 | 37.0 | 1443 | 2.5820 |
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+ | 2.7328 | 38.0 | 1482 | 2.5763 |
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+ | 2.6263 | 39.0 | 1521 | 2.5725 |
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+ | 2.6263 | 40.0 | 1560 | 2.5689 |
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+ | 2.6263 | 41.0 | 1599 | 2.5636 |
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+ | 2.6263 | 42.0 | 1638 | 2.5610 |
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+ | 2.6263 | 43.0 | 1677 | 2.5590 |
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+ | 2.6263 | 44.0 | 1716 | 2.5566 |
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+ | 2.6263 | 45.0 | 1755 | 2.5549 |
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+ | 2.6263 | 46.0 | 1794 | 2.5523 |
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+ | 2.6263 | 47.0 | 1833 | 2.5512 |
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+ | 2.6263 | 48.0 | 1872 | 2.5500 |
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+ | 2.6263 | 49.0 | 1911 | 2.5496 |
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+ | 2.6263 | 50.0 | 1950 | 2.5493 |
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  ### Framework versions
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