| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - unsloth |
| - generated_from_trainer |
| base_model: unsloth/gemma-1.1-7b-it-bnb-4bit |
| model-index: |
| - name: gemma-ViMMRC-Answer |
| 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. --> |
|
|
| # gemma-ViMMRC-Answer |
|
|
| This model is a fine-tuned version of [unsloth/gemma-1.1-7b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-1.1-7b-it-bnb-4bit) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1034 |
| - Accuracy: 0.8493 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| - ViMMRC train and test set |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 3407 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 5 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 13.1 | 0.3306 | 10 | 5.9870 | |
| | 2.4875 | 0.6612 | 20 | 1.1997 | |
| | 0.5062 | 0.9917 | 30 | 0.2423 | |
| | 0.1602 | 1.3223 | 40 | 0.1251 | |
| | 0.1289 | 1.6529 | 50 | 0.1156 | |
| | 0.1234 | 1.9835 | 60 | 0.1000 | |
| | 0.0727 | 2.3140 | 70 | 0.1068 | |
| | 0.0945 | 2.6446 | 80 | 0.1035 | |
| | 0.0785 | 2.9752 | 90 | 0.1034 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.40.2 |
| - Pytorch 2.3.0 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
