End of training
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README.md
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 24 | 0.
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| No log | 2.0 | 48 | 0.
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### Framework versions
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2378
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- Precision: 0.7015
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- Recall: 0.6115
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- F1: 0.6534
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- Accuracy: 0.9182
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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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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| No log | 1.0 | 24 | 0.3755 | 0.0 | 0.0 | 0.0 | 0.8739 |
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| No log | 2.0 | 48 | 0.3258 | 0.0 | 0.0 | 0.0 | 0.8739 |
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| No log | 3.0 | 72 | 0.2695 | 0.0 | 0.0 | 0.0 | 0.8739 |
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| No log | 4.0 | 96 | 0.2439 | 0.6749 | 0.6059 | 0.6386 | 0.9135 |
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| No log | 5.0 | 120 | 0.2378 | 0.7015 | 0.6115 | 0.6534 | 0.9182 |
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### Framework versions
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runs/Jan28_09-17-19_4431f1c5681e/events.out.tfevents.1738055841.4431f1c5681e.434.2
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