Model save
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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: 0.7
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 7 | 0.
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| No log | 2.0 | 14 | 0.
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| No log | 3.0 | 21 | 0.
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| No log | 4.0 | 28 | 0.
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| No log | 5.0 | 35 | 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: 0.6032
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- Accuracy: 0.7
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 7 | 0.6426 | 0.7 |
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| No log | 2.0 | 14 | 0.6486 | 0.7 |
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| No log | 3.0 | 21 | 0.6032 | 0.7 |
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| No log | 4.0 | 28 | 0.6080 | 0.7 |
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| No log | 5.0 | 35 | 0.6080 | 0.7 |
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### Framework versions
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model.safetensors
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training_args.bin
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