--- license: mit tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: roberta-base-finetuned-cola results: [] --- # roberta-base-finetuned-cola This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset. It achieves the following results on the evaluation set: - Loss: 0.4585 - Matthews Correlation: 0.6333 ## 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: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: IPU - gradient_accumulation_steps: 16 - total_train_batch_size: 16 - total_eval_batch_size: 5 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 - training precision: Mixed Precision ### Training results | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | 0.4797 | 1.0 | 534 | 0.4011 | 0.5519 | | 0.4283 | 2.0 | 1068 | 0.4207 | 0.6128 | | 0.058 | 3.0 | 1602 | 0.5122 | 0.5816 | | 0.0678 | 4.0 | 2136 | 0.4585 | 0.6333 | | 0.1719 | 5.0 | 2670 | 0.5723 | 0.6170 | ### Framework versions - Transformers 4.20.0 - Pytorch 1.10.0+cpu - Datasets 2.7.0 - Tokenizers 0.12.1