--- library_name: transformers base_model: mrm8488/electricidad-base-discriminator tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-cuentos results: [] --- # clasificador-cuentos This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset. It achieves the following results on the evaluation set: - Loss: 4.3286 - Accuracy: 0.0 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 28 | 3.3757 | 0.0 | | No log | 2.0 | 56 | 3.7093 | 0.0 | | No log | 3.0 | 84 | 4.2074 | 0.0 | | No log | 4.0 | 112 | 4.3360 | 0.0 | | No log | 5.0 | 140 | 4.3296 | 0.0 | | No log | 6.0 | 168 | 4.3370 | 0.0 | | No log | 7.0 | 196 | 4.2915 | 0.0 | | No log | 8.0 | 224 | 4.3349 | 0.0 | | No log | 9.0 | 252 | 4.4380 | 0.0 | | No log | 10.0 | 280 | 4.3286 | 0.0 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0