senthil2002
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End of training
Browse files
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 5 | 0.
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| No log | 2.0 | 10 | 0.
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| No log | 3.0 | 15 | 0.
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| No log | 4.0 | 20 | 0.
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| No log | 5.0 | 25 | 0.
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| No log | 6.0 | 30 | 0.
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| No log | 7.0 | 35 | 0.
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| No log | 8.0 | 40 | 0.
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| No log | 9.0 | 45 | 0.0102 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 10.0 | 50 | 0.0096 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.0164
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 5 | 0.3930 | 1.0 | 0.25 | 0.4 | 0.76 |
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| No log | 2.0 | 10 | 0.0968 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 3.0 | 15 | 0.0267 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 4.0 | 20 | 0.0228 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 5.0 | 25 | 0.0164 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 6.0 | 30 | 0.0197 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 7.0 | 35 | 0.0228 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 8.0 | 40 | 0.0215 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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model.safetensors
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