| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - base_model:adapter:bert-base-uncased |
| - lora |
| - transformers |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: imdb-lora-0.1 |
| 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. --> |
|
|
| # imdb-lora-0.1 |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6777 |
| - Accuracy: 0.6072 |
| - F1: 0.6071 |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | No log | 1.0 | 40 | 0.6947 | 0.5022 | 0.5014 | |
| | 0.7014 | 2.0 | 80 | 0.6892 | 0.5315 | 0.5190 | |
| | 0.6915 | 3.0 | 120 | 0.6838 | 0.5758 | 0.5744 | |
| | 0.6886 | 4.0 | 160 | 0.6795 | 0.5976 | 0.5971 | |
| | 0.6839 | 5.0 | 200 | 0.6777 | 0.6072 | 0.6071 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.18.0 |
| - Transformers 4.57.3 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
