--- library_name: transformers license: mit base_model: camembert-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: hscorer-full results: [] --- # hscorer-full This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1307 - Accuracy: 0.9695 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.1859 | 1.0 | 1797 | 0.1307 | 0.9631 | | 0.1457 | 2.0 | 3594 | 0.2505 | 0.9432 | | 0.125 | 3.0 | 5391 | 0.1224 | 0.9713 | | 0.2291 | 4.0 | 7188 | 0.1530 | 0.9402 | | 0.1174 | 5.0 | 8985 | 0.1462 | 0.9463 | | 0.0957 | 6.0 | 10782 | 0.2007 | 0.9549 | | 0.1581 | 7.0 | 12579 | 0.2563 | 0.9290 | | 0.1386 | 8.0 | 14376 | 0.2012 | 0.9528 | | 0.1353 | 9.0 | 16173 | 0.1420 | 0.9664 | | 0.0665 | 10.0 | 17970 | 0.1307 | 0.9695 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.19.1