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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: camembert-secabilite-regressor |
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results: [] |
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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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should probably proofread and complete it, then remove this comment. --> |
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# camembert-secabilite-regressor |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0136 |
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- Model Preparation Time: 0.0011 |
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- Mse: 0.0137 |
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- Mae: 0.0557 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Mse | Mae | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:| |
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| 0.0102 | 1.0 | 108 | 0.0136 | 0.0011 | 0.0137 | 0.0624 | |
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| 0.0095 | 2.0 | 216 | 0.0144 | 0.0011 | 0.0144 | 0.0607 | |
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| 0.0089 | 3.0 | 324 | 0.0141 | 0.0011 | 0.0141 | 0.0590 | |
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| 0.0089 | 4.0 | 432 | 0.0139 | 0.0011 | 0.0140 | 0.0576 | |
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| 0.009 | 5.0 | 540 | 0.0138 | 0.0011 | 0.0139 | 0.0568 | |
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| 0.0091 | 6.0 | 648 | 0.0136 | 0.0011 | 0.0137 | 0.0561 | |
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| 0.0085 | 7.0 | 756 | 0.0136 | 0.0011 | 0.0137 | 0.0557 | |
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| 0.0084 | 8.0 | 864 | 0.0136 | 0.0011 | 0.0137 | 0.0557 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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