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 [Vasanth/bert-base-uncased-finetuned-emotion](https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion) 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:
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## Model description
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.2122 | 0.1711 | 0.9445 | 0 |
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| 0.1317 | 0.1408 | 0.9435 | 1 |
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### Framework versions
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This model is a fine-tuned version of [Vasanth/bert-base-uncased-finetuned-emotion](https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1063
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- Validation Loss: 0.1359
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- Train Accuracy: 0.949
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.2122 | 0.1711 | 0.9445 | 0 |
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| 0.1317 | 0.1408 | 0.9435 | 1 |
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| 0.1063 | 0.1359 | 0.949 | 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 438235432
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version https://git-lfs.github.com/spec/v1
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size 438235432
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