End of training
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- model.safetensors +1 -1
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: 0.2548
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- Accuracy: 0.9035
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- F1: 0.8134
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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 | 0.6325 | 0.7464 | 0.0 |
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| No log | 0.2020 | 79 | 0.3489 | 0.8487 | 0.6624 |
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| No log | 0.4041 | 158 | 0.3422 | 0.8559 | 0.7462 |
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| No log | 0.6061 | 237 | 0.2983 | 0.8674 | 0.7444 |
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| No log | 0.8082 | 316 | 0.2837 | 0.8862 | 0.7871 |
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| No log | 1.0102 | 395 | 0.2743 | 0.8919 | 0.7967 |
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| No log | 1.2123 | 474 | 0.2772 | 0.8934 | 0.7956 |
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| 0.3453 | 1.4143 | 553 | 0.2552 | 0.9092 | 0.8245 |
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| 0.3453 | 1.6164 | 632 | 0.2486 | 0.9006 | 0.8056 |
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| 0.3453 | 1.8184 | 711 | 0.2548 | 0.9035 | 0.8134 |
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### Framework versions
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model.safetensors
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