--- license: apache-2.0 base_model: distilbert/distilroberta-base tags: - generated_from_trainer model-index: - name: my_awesome_eli5_mlm_model results: [] --- # my_awesome_eli5_mlm_model This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.0260 ## 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.2634 | 1.0 | 1305 | 2.0517 | | 2.1672 | 2.0 | 2610 | 2.0327 | | 2.1388 | 3.0 | 3915 | 2.0124 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2+cu118 - Datasets 2.16.0 - Tokenizers 0.15.0