Training in progress epoch 2
Browse files- README.md +9 -8
- 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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- 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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| 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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| 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 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: 0.0990
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- Train Accuracy: 0.947
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- Validation Loss: 0.1458
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- Validation Accuracy: 0.9470
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- Train Precision: 0.9490
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- Train Recall: 0.947
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- Train F1: 0.9466
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- Epoch: 2
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## Model description
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|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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| 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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| 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |
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| 0.0990 | 0.947 | 0.1458 | 0.9470 | 0.9490 | 0.947 | 0.9466 | 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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size 438235432
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version https://git-lfs.github.com/spec/v1
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size 438235432
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