--- library_name: transformers license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: roberta-base-wordnet_combined_four-fine-tuned results: [] --- # roberta-base-wordnet_combined_four-fine-tuned This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1126 ## 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: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.2257 | 1.0 | 7354 | 0.1679 | | 0.192 | 2.0 | 14708 | 0.1475 | | 0.1369 | 3.0 | 22062 | 0.1126 | ### Framework versions - Transformers 4.45.1 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0