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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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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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: 0.2505
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- Accuracy: 0.8919
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- F1: 0.7899
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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 | 0.6737 | 0.7493 | 0.0440 |
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| No log | 0.2020 | 79 | 0.3465 | 0.8602 | 0.6820 |
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| No log | 0.4041 | 158 | 0.3404 | 0.8458 | 0.7371 |
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| No log | 0.6061 | 237 | 0.2951 | 0.8761 | 0.7650 |
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| No log | 0.8082 | 316 | 0.2763 | 0.8862 | 0.7893 |
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| No log | 1.0102 | 395 | 0.2732 | 0.8818 | 0.7747 |
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| No log | 1.2123 | 474 | 0.2707 | 0.8905 | 0.7865 |
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| 0.3426 | 1.4143 | 553 | 0.2516 | 0.8963 | 0.7989 |
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| 0.3426 | 1.6164 | 632 | 0.2434 | 0.8963 | 0.7943 |
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| 0.3426 | 1.8184 | 711 | 0.2505 | 0.8919 | 0.7899 |
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### Framework versions
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model.safetensors
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size 267832560
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