| language: | |
| - en | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - glue | |
| model-index: | |
| - name: bert-base-uncased-sst2 | |
| 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-sst2 | |
| This model is a fine-tuned version of [textattack/bert-base-uncased-SST-2](https://huggingface.co/textattack/bert-base-uncased-SST-2) on the GLUE SST2 dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.2140 | |
| - eval_accuracy: 0.9243 | |
| - eval_runtime: 56.1937 | |
| - eval_samples_per_second: 15.518 | |
| - eval_steps_per_second: 1.94 | |
| - step: 0 | |
| ## 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: 1e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Framework versions | |
| - Transformers 4.26.0 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |