Model save
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown 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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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3264
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- Accuracy: 0.9232
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- F1: 0.9231
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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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| 0.3752 | 1.0 | 313 | 0.2758 | 0.9075 | 0.9074 |
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| 0.2 | 2.0 | 626 | 0.2431 | 0.92 | 0.9199 |
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| 0.1164 | 3.0 | 939 | 0.2867 | 0.9184 | 0.9185 |
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| 0.0614 | 4.0 | 1252 | 0.3144 | 0.9203 | 0.9202 |
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| 0.032 | 5.0 | 1565 | 0.3264 | 0.9232 | 0.9231 |
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### Framework versions
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model.safetensors
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