--- license: apache-2.0 tags: - generated_from_trainer base_model: distilroberta-base model-index: - name: distilroberta-base-finetuned-wikitext2-0409nnn results: [] --- # distilroberta-base-finetuned-wikitext2-0409nnn This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8597 ## 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: 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: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.0806 | 1.0 | 2406 | 1.9370 | | 1.9902 | 2.0 | 4812 | 1.8837 | | 1.9423 | 3.0 | 7218 | 1.8342 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.1