| license: cc-by-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - nsmc | |
| model-index: | |
| - name: klue-bert-finetuned-nsmc | |
| 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. --> | |
| # klue-bert-finetuned-nsmc | |
| This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the nsmc dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.2402 | |
| - eval_accuracy: 0.9029 | |
| - eval_f1: 0.9029 | |
| - eval_runtime: 343.6707 | |
| - eval_samples_per_second: 145.488 | |
| - eval_steps_per_second: 4.548 | |
| - epoch: 1.0 | |
| - step: 4688 | |
| ## 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: 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: 2 | |
| ### Framework versions | |
| - Transformers 4.13.0 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.10.3 | |