--- library_name: transformers license: apache-2.0 base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: distilbert-base-multilingual-cased-sentiments-student-pr-2 results: [] --- # distilbert-base-multilingual-cased-sentiments-student-pr-2 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 an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3663 - Accuracy: 0.9233 - F1: 0.9234 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - 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: 5 ### Training results ### Framework versions - Transformers 4.46.2 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.20.3