--- license: apache-2.0 base_model: distilbert-base-multilingual-cased tags: - generated_from_trainer model-index: - name: distilbert-base-multilingual-cased-finetuned-bible results: [] --- # distilbert-base-multilingual-cased-finetuned-bible This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0584 ## 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: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.4277 | 1.0 | 157 | 3.2472 | | 3.2219 | 2.0 | 314 | 3.0971 | | 3.1558 | 3.0 | 471 | 3.0584 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.2.1+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1