| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: distilbert-base-uncased-finetuned-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. --> | |
| # distilbert-base-uncased-finetuned-sst2 | |
| This model is a fine-tuned version of [Telstema/distilbert-base-uncased-finetuned-sst2](https://huggingface.co/Telstema/distilbert-base-uncased-finetuned-sst2) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 2.7080 | |
| - eval_accuracy: 0.7218 | |
| - eval_runtime: 13.1083 | |
| - eval_samples_per_second: 10.146 | |
| - eval_steps_per_second: 0.687 | |
| - epoch: 2.0 | |
| - step: 100 | |
| ## 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: 3.909275911638729e-06 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 16 | |
| - seed: 23 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |