--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilroberta-base-finetuned-kendrick-lamar results: [] --- # distilroberta-base-finetuned-kendrick-lamar 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: 3.0142 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 111 | 3.0981 | | No log | 2.0 | 222 | 3.0078 | | No log | 3.0 | 333 | 3.0142 | ### Framework versions - Transformers 4.18.0 - Pytorch 1.11.0+cpu - Datasets 2.1.0 - Tokenizers 0.12.1