LeoZZzzZZ commited on
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Training in progress epoch 1

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README.md CHANGED
@@ -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-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: 0.5499
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- - Validation Loss: 0.5859
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- - Train Accuracy: 0.7608
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- - Train Precision: 0.7579
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- - Train Recall: 0.7608
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- - Train F1: 0.7578
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- - Epoch: 0
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  ## Model description
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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
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  |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.5499 | 0.5859 | 0.7608 | 0.7579 | 0.7608 | 0.7578 | 0 |
 
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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: 0.3577
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+ - Validation Loss: 0.6254
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+ - Train Accuracy: 0.7677
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+ - Train Precision: 0.7662
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+ - Train Recall: 0.7677
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+ - Train F1: 0.7660
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+ - Epoch: 1
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
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  |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.5499 | 0.5859 | 0.7608 | 0.7579 | 0.7608 | 0.7578 | 0 |
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+ | 0.3577 | 0.6254 | 0.7677 | 0.7662 | 0.7677 | 0.7660 | 1 |
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  ### Framework versions
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