Training in progress epoch 2
Browse files- README.md +8 -7
- tf_model.h5 +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 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 Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.1986 | 0.0718 | 0.8969 | 0.9174 | 0.9070 | 0.9789 | 0 |
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| 0.0545 | 0.0628 | 0.9229 | 0.9280 | 0.9254 | 0.9826 | 1 |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0353
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- Validation Loss: 0.0616
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- Train Precision: 0.9206
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- Train Recall: 0.9342
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- Train F1: 0.9274
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- Train Accuracy: 0.9831
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.1986 | 0.0718 | 0.8969 | 0.9174 | 0.9070 | 0.9789 | 0 |
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| 0.0545 | 0.0628 | 0.9229 | 0.9280 | 0.9254 | 0.9826 | 1 |
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| 0.0353 | 0.0616 | 0.9206 | 0.9342 | 0.9274 | 0.9831 | 2 |
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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 265606416
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dd84e9e9b84b6f6f61d260994a6ab83b458fbceeec2b67acb9a58b6959274c2
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size 265606416
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