Upload TFDistilBertForSequenceClassification
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- 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 Accuracy: 0.
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- Epoch: 2
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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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### 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: 0.1219
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- Validation Loss: 0.0976
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- Train Accuracy: 0.976
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- Epoch: 2
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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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| 0.4391 | 0.1931 | 0.93 | 0 |
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| 0.1996 | 0.1249 | 0.96 | 1 |
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| 0.1219 | 0.0976 | 0.976 | 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 267951808
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version https://git-lfs.github.com/spec/v1
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oid sha256:389c83e3dad77ff28a84622f546d9f3fadf3eb6ec5e41581644a4745aa2342a3
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size 267951808
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