Training in progress epoch 2
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- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) 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: 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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- Epoch:
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## Model description
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|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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| 0.9979 | 0.88 | 0.3892 | 0.8800 | 0.8846 | 0.88 | 0.8791 | 0 |
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| 0.3015 | 0.9115 | 0.2843 | 0.9115 | 0.9169 | 0.9115 | 0.9111 | 1 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.2094
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- Train Accuracy: 0.934
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- Validation Loss: 0.2149
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- Validation Accuracy: 0.9340
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- Train Precision: 0.9362
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- Train Recall: 0.934
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- Train F1: 0.9336
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- Epoch: 2
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## Model description
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|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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| 0.9979 | 0.88 | 0.3892 | 0.8800 | 0.8846 | 0.88 | 0.8791 | 0 |
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| 0.3015 | 0.9115 | 0.2843 | 0.9115 | 0.9169 | 0.9115 | 0.9111 | 1 |
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| 0.2094 | 0.934 | 0.2149 | 0.9340 | 0.9362 | 0.934 | 0.9336 | 2 |
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### Framework versions
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tf_model.h5
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