--- library_name: transformers base_model: mrm8488/electricidad-base-discriminator tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-tweets results: [] --- # clasificador-tweets This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0594 - Accuracy: 0.6596 ## 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 | 23 | 1.7696 | 0.3404 | | No log | 2.0 | 46 | 1.5696 | 0.5532 | | No log | 3.0 | 69 | 1.3208 | 0.5106 | | No log | 4.0 | 92 | 1.2033 | 0.6170 | | No log | 5.0 | 115 | 1.1311 | 0.6383 | | No log | 6.0 | 138 | 1.0723 | 0.6383 | | No log | 7.0 | 161 | 1.0911 | 0.6596 | | No log | 8.0 | 184 | 1.0427 | 0.6809 | | No log | 9.0 | 207 | 1.0722 | 0.6596 | | No log | 10.0 | 230 | 1.0594 | 0.6596 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0