End of training
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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-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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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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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/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0593
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- Precision: 0.9370
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- Recall: 0.9595
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- F1: 0.9481
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- Accuracy: 0.9816
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.06 | 1.0 | 10463 | 0.0544 | 0.9232 | 0.9433 | 0.9331 | 0.9753 |
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| 0.0507 | 2.0 | 20926 | 0.0484 | 0.9342 | 0.9536 | 0.9438 | 0.9782 |
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| 0.04 | 3.0 | 31389 | 0.0473 | 0.9347 | 0.9558 | 0.9451 | 0.9800 |
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| 0.0272 | 4.0 | 41852 | 0.0549 | 0.9379 | 0.9591 | 0.9484 | 0.9811 |
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| 0.0209 | 5.0 | 52315 | 0.0593 | 0.9370 | 0.9595 | 0.9481 | 0.9816 |
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### Framework versions
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model.safetensors
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