| base_model: distilbert-base-uncased | |
| datasets: | |
| - financial_phrasebank | |
| library_name: peft | |
| license: apache-2.0 | |
| metrics: | |
| - accuracy | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: distilbert-base-uncased-lora-financial-sentiment-analysis | |
| 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-financial-sentiment-analysis | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the financial_phrasebank dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0787 | |
| - Accuracy: {'accuracy': 0.9823788546255506} | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------------------------:| | |
| | 0.1615 | 1.0 | 510 | 0.0830 | {'accuracy': 0.973568281938326} | | |
| | 0.1076 | 2.0 | 1020 | 0.0787 | {'accuracy': 0.9823788546255506} | | |
| | 0.0558 | 3.0 | 1530 | 0.1102 | {'accuracy': 0.9647577092511013} | | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.41.2 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |