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End of training

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README.md CHANGED
@@ -18,9 +18,9 @@ should 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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- - Loss: 0.1798
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- - F1: 0.9941
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- - Acc: 0.9944
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.3766 | 1.0 | 90 | 0.1798 | 0.9941 | 0.9944 |
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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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+ - Loss: 0.0407
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+ - F1: 1.0
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+ - Acc: 1.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
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+ | 0.227 | 1.0 | 90 | 0.0407 | 1.0 | 1.0 |
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  ### Framework versions
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