Training completed!
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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- name: F1
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type: f1
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [nuwrong/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/nuwrong/distilbert-base-uncased-finetuned-emotion) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 125 | 0.
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| 0.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8975
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- name: F1
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type: f1
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value: 0.8918840109817414
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [nuwrong/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/nuwrong/distilbert-base-uncased-finetuned-emotion) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3723
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- Accuracy: 0.8975
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- F1: 0.8919
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 125 | 0.6100 | 0.7925 | 0.7532 |
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| 0.8121 | 2.0 | 250 | 0.3723 | 0.8975 | 0.8919 |
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### Framework versions
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pytorch_model.bin
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