| --- |
| license: other |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: google/gemma-2b-it |
| model-index: |
| - name: ft-google-gemma-2b-it-qlora |
| 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. --> |
|
|
| # ft-google-gemma-2b-it-qlora |
|
|
| This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6079 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.2365 | 1.0 | 1 | 2.6422 | |
| | 0.1717 | 2.0 | 2 | 2.2893 | |
| | 0.1298 | 3.0 | 3 | 1.9988 | |
| | 0.0971 | 4.0 | 4 | 1.7610 | |
| | 0.0673 | 5.0 | 5 | 1.6079 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.9.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
