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Training in progress epoch 7

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  1. README.md +3 -2
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@@ -16,13 +16,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.0168
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  - Validation Loss: 0.0518
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  - Train Precision: 0.8
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  - Train Recall: 0.8640
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  - Train F1: 0.8308
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  - Train Accuracy: 0.9860
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- - Epoch: 6
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 0.0173 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 4 |
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  | 0.0174 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 5 |
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  | 0.0168 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 6 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.0172
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  - Validation Loss: 0.0518
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  - Train Precision: 0.8
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  - Train Recall: 0.8640
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  - Train F1: 0.8308
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  - Train Accuracy: 0.9860
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+ - Epoch: 7
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  ## Model description
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  | 0.0173 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 4 |
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  | 0.0174 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 5 |
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  | 0.0168 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 6 |
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+ | 0.0172 | 0.0518 | 0.8 | 0.8640 | 0.8308 | 0.9860 | 7 |
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  ### Framework versions