End of training
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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 indian_names 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 | 1 | 0.
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| No log | 2.0 | 2 | 0.
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| No log | 3.0 | 3 | 0.
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| No log | 4.0 | 4 | 0.
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| No log | 5.0 | 5 | 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 indian_names dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0035
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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 | 1 | 0.2174 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 2.0 | 2 | 0.0553 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 3.0 | 3 | 0.0124 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 4.0 | 4 | 0.0048 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 5.0 | 5 | 0.0035 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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pytorch_model.bin
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