anuragrawal
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End of training
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- pytorch_model.bin +1 -1
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:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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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: 1.0098
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- Accuracy: 0.9009
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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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| 0.3073 | 1.0 | 5250 | 0.2758 | 0.8925 |
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| 0.2356 | 2.0 | 10500 | 0.2988 | 0.8988 |
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| 0.1834 | 3.0 | 15750 | 0.3662 | 0.8989 |
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| 0.1403 | 4.0 | 21000 | 0.4688 | 0.8955 |
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| 0.1038 | 5.0 | 26250 | 0.5136 | 0.8925 |
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| 0.0788 | 6.0 | 31500 | 0.6189 | 0.8954 |
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| 0.0687 | 7.0 | 36750 | 0.6439 | 0.8947 |
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| 0.0439 | 8.0 | 42000 | 0.7104 | 0.8991 |
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| 0.035 | 9.0 | 47250 | 0.7527 | 0.8983 |
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| 0.0205 | 10.0 | 52500 | 0.8317 | 0.9011 |
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| 0.0258 | 11.0 | 57750 | 0.8488 | 0.9003 |
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| 0.0174 | 12.0 | 63000 | 0.8577 | 0.9027 |
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| 0.0095 | 13.0 | 68250 | 0.9242 | 0.9007 |
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| 0.0096 | 14.0 | 73500 | 1.0134 | 0.9003 |
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| 0.0083 | 15.0 | 78750 | 1.0098 | 0.9009 |
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### Framework versions
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pytorch_model.bin
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