Training in progress epoch 1
Browse files- README.md +5 -4
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.2014 | 0.1650 | 0.9345 | 0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1180
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- Validation Loss: 0.1548
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- Train Accuracy: 0.9458
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- Epoch: 1
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## Model description
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.2014 | 0.1650 | 0.9345 | 0 |
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| 0.1180 | 0.1548 | 0.9458 | 1 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 267955144
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0868f070adec6e32c15b27ac54291e2634c759c95451b81691f9898acaabc79
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size 267955144
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