--- license: apache-2.0 tags: - generated_from_trainer base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student metrics: - accuracy - f1 model-index: - name: Sentimiento-appmovilesdisbert results: [] --- # Sentimiento-appmovilesdisbert This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2914 - Accuracy: 0.9187 - F1: 0.8375 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | No log | 1.0 | 332 | 0.2914 | 0.9187 | 0.8375 | | 0.3391 | 2.0 | 664 | 0.3134 | 0.9307 | 0.8285 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.2.1+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1