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Training in progress epoch 2

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  1. README.md +3 -2
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@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6834
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  - Validation Loss: 0.7336
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  - Train Precision: 0.4712
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  - Train Recall: 0.4993
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  - Train F1: 0.4848
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  - Train Accuracy: 0.6975
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- - Epoch: 1
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 0.6938 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 0 |
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  | 0.6834 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6861
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  - Validation Loss: 0.7336
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  - Train Precision: 0.4712
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  - Train Recall: 0.4993
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  - Train F1: 0.4848
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  - Train Accuracy: 0.6975
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 0.6938 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 0 |
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  | 0.6834 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 1 |
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+ | 0.6861 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 2 |
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  ### Framework versions