--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: bibert-ende results: [] --- # bibert-ende This model is a fine-tuned version of [jhu-clsp/bibert-ende](https://huggingface.co/jhu-clsp/bibert-ende) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8713 - Accuracy: 0.6310 ## 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 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.28.0.dev0 - Pytorch 1.12.0+cu113 - Datasets 2.10.1 - Tokenizers 0.13.2