| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: distilbert-base-uncased | |
| model-index: | |
| - name: distilbert-base-uncased-lora-text-classification | |
| 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-lora-text-classification | |
| 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: 0.7425 | |
| - eval_accuracy: {'accuracy': 0.888} | |
| - eval_runtime: 219.3112 | |
| - eval_samples_per_second: 4.56 | |
| - eval_steps_per_second: 1.14 | |
| - epoch: 5.0 | |
| - step: 1250 | |
| ## 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: 0.001 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10 | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.41.1 | |
| - Pytorch 2.3.0+cpu | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 |