| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: google-bert/bert-base-uncased |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: lora_fine_tuned_boolq |
| | 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. --> |
| |
|
| | # lora_fine_tuned_boolq |
| | |
| | This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5547 |
| | - Accuracy: 0.7778 |
| | - F1: 0.6806 |
| | |
| | ## 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 |
| | - training_steps: 400 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:| |
| | | 0.6762 | 4.1667 | 50 | 0.5947 | 0.7778 | 0.6806 | |
| | | 0.6639 | 8.3333 | 100 | 0.5719 | 0.7778 | 0.6806 | |
| | | 0.6555 | 12.5 | 150 | 0.5648 | 0.7778 | 0.6806 | |
| | | 0.6605 | 16.6667 | 200 | 0.5615 | 0.7778 | 0.6806 | |
| | | 0.6612 | 20.8333 | 250 | 0.5568 | 0.7778 | 0.6806 | |
| | | 0.6508 | 25.0 | 300 | 0.5567 | 0.7778 | 0.6806 | |
| | | 0.6491 | 29.1667 | 350 | 0.5550 | 0.7778 | 0.6806 | |
| | | 0.663 | 33.3333 | 400 | 0.5547 | 0.7778 | 0.6806 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.10.1.dev0 |
| | - Transformers 4.40.1 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
