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End of training
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-cased](https://huggingface.co/distilbert-base-cased) 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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- Train Accuracy: 0
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- Validation Loss: 0.
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- Validation Accuracy: 1.0
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- Epoch:
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## Model description
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.4643 | 0.7812 | 0.0083 | 1.0 | 0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0048
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- Train Accuracy: 1.0
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- Validation Loss: 0.0001
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- Validation Accuracy: 1.0
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- Epoch: 1
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## Model description
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.4643 | 0.7812 | 0.0083 | 1.0 | 0 |
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| 0.0048 | 1.0 | 0.0001 | 1.0 | 1 |
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### Framework versions
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tf_model.h5
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