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Training in progress epoch 1
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) 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: 0.7143
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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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| 0.6678 | 0.6089 | 0.7143 | 0 |
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### Framework versions
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This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6507
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- Validation Loss: 0.6112
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- Train Accuracy: 0.7143
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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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| 0.6678 | 0.6089 | 0.7143 | 0 |
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| 0.6507 | 0.6112 | 0.7143 | 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 1347181616
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version https://git-lfs.github.com/spec/v1
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size 1347181616
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