--- license: apache-2.0 tags: - text-classification - generated_from_trainer datasets: - glue metrics: - accuracy - f1 widget: - text: - >- Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion. - >- Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 billion in 1998. example_title: Not Equivalent - text: - >- Revenue in the first quarter of the year dropped 15 percent from the same period a year earlier. - >- With the scandal hanging over Stewart's company revenue the first quarter of the year dropped 15 percent from the same period a year earlier. example_title: Equivalent model-index: - name: distilroberta-base-mrpc-glue-juanda-bula results: - task: name: Text Classification type: text-classification dataset: name: datasetX type: glue config: mrpc split: train args: mrpc metrics: - name: Accuracy type: accuracy value: 0.8333333333333334 - name: F1 type: f1 value: 0.870722433460076 --- # distilroberta-base-mrpc-glue-juanda-bula This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset. It achieves the following results on the evaluation set: - Loss: 0.5684 - Accuracy: 0.8333 - F1: 0.8707 ## 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: 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 | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 0.5239 | 1.09 | 500 | 0.6723 | 0.7990 | 0.8610 | | 0.3692 | 2.18 | 1000 | 0.5684 | 0.8333 | 0.8707 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.0+cpu - Datasets 2.7.1 - Tokenizers 0.13.2