| license: mit | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: roberta-base | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: roberta-base-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. --> | |
| # roberta-base-lora-text-classification | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4099 | |
| - Accuracy: {'accuracy': 0.934} | |
| ## 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: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------------------:| | |
| | No log | 1.0 | 250 | 0.2177 | {'accuracy': 0.944} | | |
| | 0.3854 | 2.0 | 500 | 0.2950 | {'accuracy': 0.934} | | |
| | 0.3854 | 3.0 | 750 | 0.3770 | {'accuracy': 0.931} | | |
| | 0.12 | 4.0 | 1000 | 0.4099 | {'accuracy': 0.934} | | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.41.1 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.19.2 | |
| - Tokenizers 0.19.1 |