Training in progress epoch 2
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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: 0.9475
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- Validation Loss: 0.1594
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- Validation Accuracy: 0.9475
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- Train Precision: 0.9494
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- Train Recall: 0.9475
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- Train F1: 0.9472
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- Epoch:
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## Model description
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| 0.0886 | 0.947 | 0.1570 | 0.9470 | 0.9490 | 0.947 | 0.9467 | 0 |
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| 0.0770 | 0.9475 | 0.1594 | 0.9475 | 0.9494 | 0.9475 | 0.9472 | 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: 0.0682
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- Train Accuracy: 0.9475
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- Validation Loss: 0.1594
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- Validation Accuracy: 0.9475
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- Train Precision: 0.9494
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- Train Recall: 0.9475
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- Train F1: 0.9472
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- Epoch: 2
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## Model description
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|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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| 0.0886 | 0.947 | 0.1570 | 0.9470 | 0.9490 | 0.947 | 0.9467 | 0 |
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| 0.0770 | 0.9475 | 0.1594 | 0.9475 | 0.9494 | 0.9475 | 0.9472 | 1 |
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| 0.0682 | 0.9475 | 0.1594 | 0.9475 | 0.9494 | 0.9475 | 0.9472 | 2 |
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### Framework versions
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