| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: fine-tuned-distilbert-base-uncased | |
| 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. --> | |
| # fine-tuned-distilbert-base-uncased | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.5839 | |
| - eval_accuracy: {'accuracy': 0.7735} | |
| - eval_f1score: {'f1': 0.7659648935757575} | |
| - eval_runtime: 36.2627 | |
| - eval_samples_per_second: 55.153 | |
| - eval_steps_per_second: 6.894 | |
| - 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: 2e-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 | |
| - lr_scheduler_warmup_steps: 399 | |
| - num_epochs: 2 | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |