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--- |
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base_model: camembert/camembert-base-wikipedia-4gb |
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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: camembert_classif_rte |
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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_classif_rte |
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This model is a fine-tuned version of [camembert/camembert-base-wikipedia-4gb](https://huggingface.co/camembert/camembert-base-wikipedia-4gb) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2278 |
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- Accuracy: 0.9653 |
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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: 2e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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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- num_epochs: 5 |
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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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| 0.163 | 1.0 | 16000 | 0.1371 | 0.9597 | |
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| 0.1374 | 2.0 | 32000 | 0.1505 | 0.9633 | |
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| 0.0877 | 3.0 | 48000 | 0.1622 | 0.9642 | |
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| 0.0491 | 4.0 | 64000 | 0.1940 | 0.9644 | |
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| 0.0143 | 5.0 | 80000 | 0.2278 | 0.9653 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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