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--- |
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base_model: camembert/camembert-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: classificateur-intention_camembert |
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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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# classificateur-intention_camembert |
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This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5463 |
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- Accuracy: 0.8889 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: linear |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7517 | 2.0 | 10 | 0.4700 | 0.8889 | |
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| 0.2834 | 4.0 | 20 | 0.3313 | 0.8889 | |
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| 0.0488 | 6.0 | 30 | 0.3528 | 0.8889 | |
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| 0.0181 | 8.0 | 40 | 0.6355 | 0.8889 | |
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| 0.0079 | 10.0 | 50 | 0.6676 | 0.8889 | |
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| 0.0437 | 12.0 | 60 | 0.5817 | 0.8889 | |
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| 0.0049 | 14.0 | 70 | 0.4499 | 0.8889 | |
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| 0.0192 | 16.0 | 80 | 0.5162 | 0.8889 | |
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| 0.0045 | 18.0 | 90 | 0.5420 | 0.8889 | |
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| 0.0042 | 20.0 | 100 | 0.5463 | 0.8889 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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