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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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.
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- Datasets 2.19.1
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- Tokenizers 0.15.2
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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: 0.0632
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- Precision: 0.9228
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- Recall: 0.9347
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- F1: 0.9287
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- Accuracy: 0.9831
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2377 | 1.0 | 878 | 0.0710 | 0.9068 | 0.9172 | 0.9120 | 0.9802 |
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| 0.0525 | 2.0 | 1756 | 0.0616 | 0.9213 | 0.9305 | 0.9259 | 0.9824 |
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| 0.0304 | 3.0 | 2634 | 0.0632 | 0.9228 | 0.9347 | 0.9287 | 0.9831 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.15.2
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model.safetensors
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