alex-miller commited on
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End of training

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0562
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  ## Model description
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@@ -41,22 +41,32 @@ 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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0862 | 1.0 | 126 | 0.0735 |
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- | 0.0769 | 2.0 | 252 | 0.0674 |
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- | 0.0713 | 3.0 | 378 | 0.0620 |
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- | 0.0637 | 4.0 | 504 | 0.0586 |
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- | 0.0586 | 5.0 | 630 | 0.0577 |
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- | 0.0563 | 6.0 | 756 | 0.0569 |
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- | 0.0548 | 7.0 | 882 | 0.0567 |
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- | 0.0528 | 8.0 | 1008 | 0.0564 |
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- | 0.051 | 9.0 | 1134 | 0.0563 |
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- | 0.0516 | 10.0 | 1260 | 0.0562 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0553
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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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0861 | 1.0 | 126 | 0.0733 |
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+ | 0.0763 | 2.0 | 252 | 0.0666 |
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+ | 0.0698 | 3.0 | 378 | 0.0607 |
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+ | 0.0613 | 4.0 | 504 | 0.0574 |
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+ | 0.056 | 5.0 | 630 | 0.0574 |
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+ | 0.0536 | 6.0 | 756 | 0.0568 |
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+ | 0.0519 | 7.0 | 882 | 0.0564 |
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+ | 0.0496 | 8.0 | 1008 | 0.0559 |
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+ | 0.0472 | 9.0 | 1134 | 0.0564 |
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+ | 0.0472 | 10.0 | 1260 | 0.0563 |
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+ | 0.0455 | 11.0 | 1386 | 0.0562 |
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+ | 0.0463 | 12.0 | 1512 | 0.0553 |
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+ | 0.0449 | 13.0 | 1638 | 0.0554 |
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+ | 0.0448 | 14.0 | 1764 | 0.0550 |
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+ | 0.0445 | 15.0 | 1890 | 0.0554 |
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+ | 0.0432 | 16.0 | 2016 | 0.0551 |
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+ | 0.0438 | 17.0 | 2142 | 0.0553 |
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+ | 0.0426 | 18.0 | 2268 | 0.0552 |
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+ | 0.0435 | 19.0 | 2394 | 0.0553 |
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+ | 0.0429 | 20.0 | 2520 | 0.0553 |
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  ### Framework versions
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