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 imdb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5739
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- Accuracy: 0.9334
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## Model description
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| 0.0106 | 6.0 | 9378 | 0.9304 | 0.5013 |
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| 0.0125 | 7.0 | 10941 | 0.9316 | 0.4994 |
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| 0.0112 | 8.0 | 12504 | 0.9329 | 0.5481 |
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| 0.0129 | 9.0 | 14067 | 0.
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| 0.0 | 10.0 | 15630 | 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 imdb dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.9334
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- Loss: 0.5739
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## Model description
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| 0.0106 | 6.0 | 9378 | 0.9304 | 0.5013 |
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| 0.0125 | 7.0 | 10941 | 0.9316 | 0.4994 |
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| 0.0112 | 8.0 | 12504 | 0.9329 | 0.5481 |
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| 0.0129 | 9.0 | 14067 | 0.9327 | 0.5440 |
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| 0.0 | 10.0 | 15630 | 0.9334 | 0.5739 |
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### Framework versions
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:45c65d5fc79481524e70fe9b066d98eabcfbfafbacb690d82326758b9e4f332c
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size 4091
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