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 the None 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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- Precision: 0.
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- Recall: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 | 101 | 0.
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| No log | 2.0 | 202 | 0.
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| No log | 3.0 | 303 | 0.
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| No log | 4.0 | 404 | 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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6052
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- Accuracy: 0.6467
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- F1: 0.5656
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- Precision: 0.5306
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- Recall: 0.6467
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 | 101 | 0.6449 | 0.6017 | 0.5169 | 0.4906 | 0.6017 |
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| No log | 2.0 | 202 | 0.6052 | 0.6467 | 0.5656 | 0.5306 | 0.6467 |
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| No log | 3.0 | 303 | 0.6169 | 0.6255 | 0.5427 | 0.5043 | 0.6255 |
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| No log | 4.0 | 404 | 0.6344 | 0.6342 | 0.5513 | 0.5153 | 0.6342 |
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| 0.5711 | 5.0 | 505 | 0.6630 | 0.6317 | 0.5489 | 0.5106 | 0.6317 |
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### Framework versions
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model.safetensors
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