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--- |
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library_name: transformers |
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license: mit |
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base_model: camembert-base |
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tags: |
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- hyperparameter-search |
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- best-trial |
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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: hscore-balanced |
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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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# hscore-balanced |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2353 |
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- Accuracy: 0.9274 |
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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: 8.497821083760116e-06 |
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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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- 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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| 0.1801 | 1.0 | 1643 | 0.2273 | 0.9200 | |
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| 0.3525 | 2.0 | 3286 | 0.2126 | 0.9266 | |
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| 0.0821 | 3.0 | 4929 | 0.2383 | 0.9291 | |
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| 0.4058 | 4.0 | 6572 | 0.2149 | 0.9283 | |
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| 0.2079 | 5.0 | 8215 | 0.2353 | 0.9274 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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