Rocketknight1 HF staff commited on
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e836cde
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Training in progress epoch 0

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README.md CHANGED
@@ -14,13 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0339
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- - Validation Loss: 0.0589
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- - Epoch: 2
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- - Train Precision: 0.9226
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- - Train Recall: 0.9346
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- - Train F1: 0.9285
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- - Train Accuracy: 0.9834
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  ## Model description
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  ### Training results
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- | Train Loss | Validation Loss | Epoch | Train Precision | Train Recall | Train F1 | Train Accuracy |
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- |:----------:|:---------------:|:-----:|:---------------:|:------------:|:--------:|:--------------:|
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- | 0.1960 | 0.0692 | 0 | 0.9063 | 0.9246 | 0.9154 | 0.9809 |
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- | 0.0535 | 0.0598 | 1 | 0.9203 | 0.9330 | 0.9266 | 0.9830 |
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- | 0.0339 | 0.0589 | 2 | 0.9226 | 0.9346 | 0.9285 | 0.9834 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1911
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+ - Validation Loss: 0.0714
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+ - Epoch: 0
 
 
 
 
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  ## Model description
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  ### Training results
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 0.1911 | 0.0714 | 0 |
 
 
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  ### Framework versions
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