| --- |
| library_name: peft |
| license: gemma |
| base_model: google/gemma-2b |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: SolaceAI |
| 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. --> |
|
|
| # SolaceAI |
|
|
| This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.0826 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - training_steps: 3000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 12.5314 | 0.1692 | 1000 | 3.1412 | |
| | 12.3003 | 0.3385 | 2000 | 3.0979 | |
| | 12.4202 | 0.5077 | 3000 | 3.0826 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.14.0 |
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.3.1 |
| - Tokenizers 0.21.0 |
