--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: littledataset results: [] --- # littledataset This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0000 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 169 | 0.0001 | | No log | 2.0 | 338 | 0.0000 | | 0.0036 | 3.0 | 507 | 0.0001 | | 0.0036 | 4.0 | 676 | 0.0000 | | 0.0036 | 5.0 | 845 | 0.0000 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.12.1 - Datasets 2.5.1 - Tokenizers 0.12.1