End of training
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README.md
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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.
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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.1996 | 0.0735 | 0.8930 | 0.9179 | 0.9053 | 0.9784 | 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: 0.0339
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- Validation Loss: 0.0646
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- Train Precision: 0.9217
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- Train Recall: 0.9295
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- Train F1: 0.9256
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- Train Accuracy: 0.9827
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- Epoch: 2
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.1996 | 0.0735 | 0.8930 | 0.9179 | 0.9053 | 0.9784 | 0 |
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| 0.0545 | 0.0666 | 0.9137 | 0.9292 | 0.9214 | 0.9817 | 1 |
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| 0.0339 | 0.0646 | 0.9217 | 0.9295 | 0.9256 | 0.9827 | 2 |
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### Framework versions
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logs/train/events.out.tfevents.1654570601.ea54c826b87f.73.0.v2
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logs/validation/events.out.tfevents.1654570706.ea54c826b87f.73.1.v2
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tf_model.h5
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