JoseLuis95
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Training complete
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- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
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| 0.
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8933
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- Precision: 0.6404
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- Recall: 0.6409
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- F1: 0.6405
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
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| 0.8691 | 1.0 | 3657 | 0.8801 | 0.6224 | 0.6201 | 0.6149 |
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| 0.7506 | 2.0 | 7314 | 0.8469 | 0.6458 | 0.6421 | 0.6428 |
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| 0.6087 | 3.0 | 10971 | 0.8933 | 0.6404 | 0.6409 | 0.6405 |
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### Framework versions
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model.safetensors
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training_args.bin
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