End of training
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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| No log | 0 | 0 | 0.
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| No log | 0.2020 | 79 | 0.
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| No log | 0.4041 | 158 | 0.
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| No log | 0.6061 | 237 | 0.
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| No log | 0.8082 | 316 | 0.
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| No log | 1.0102 | 395 | 0.
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| No log | 1.2123 | 474 | 0.
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.2524
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- Accuracy: 0.8948
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- F1: 0.7932
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| No log | 0 | 0 | 0.7390 | 0.2478 | 0.3958 |
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| No log | 0.2020 | 79 | 0.3584 | 0.8545 | 0.6892 |
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| No log | 0.4041 | 158 | 0.3479 | 0.8501 | 0.7360 |
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| No log | 0.6061 | 237 | 0.3126 | 0.8689 | 0.7573 |
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| No log | 0.8082 | 316 | 0.2813 | 0.8905 | 0.7946 |
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| No log | 1.0102 | 395 | 0.2741 | 0.8876 | 0.7869 |
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| No log | 1.2123 | 474 | 0.2753 | 0.8948 | 0.7978 |
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| 0.3478 | 1.4143 | 553 | 0.2634 | 0.8905 | 0.7877 |
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| 0.3478 | 1.6164 | 632 | 0.2504 | 0.8963 | 0.7966 |
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| 0.3478 | 1.8184 | 711 | 0.2524 | 0.8948 | 0.7932 |
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### Framework versions
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model.safetensors
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