| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: superglue-boolq | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # superglue-boolq | |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2098 | |
| - Accuracy: 76.7584 | |
| - Average Metrics: 76.7584 | |
| ## 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: 0.0003 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Average Metrics | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:| | |
| | No log | 0.34 | 100 | 0.2293 | 73.2722 | 73.2722 | | |
| | No log | 0.68 | 200 | 0.2098 | 76.7584 | 76.7584 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.10.2+cu111 | |
| - Datasets 1.17.0 | |
| - Tokenizers 0.12.1 | |