| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - swag | |
| metrics: | |
| - accuracy | |
| base_model: bert-base-uncased | |
| model-index: | |
| - name: bert-base-uncased-finetuned-swag | |
| 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. --> | |
| # bert-base-uncased-finetuned-swag | |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0337 | |
| - Accuracy: 0.7888 | |
| ## 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 | Accuracy | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| | |
| | 0.7451 | 1.0 | 4597 | 0.5944 | 0.7696 | | |
| | 0.3709 | 2.0 | 9194 | 0.6454 | 0.7803 | | |
| | 0.1444 | 3.0 | 13791 | 1.0337 | 0.7888 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |