| | --- |
| | library_name: transformers |
| | license: gemma |
| | base_model: google/gemma-3-270m |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: gemma_noisy_zarma_finetune |
| | 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_noisy_zarma_finetune |
| | |
| | This model is a fine-tuned version of [google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0806 |
| | |
| | ## 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: 28 |
| | - eval_batch_size: 28 |
| | - 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: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 1.2439 | 1.0 | 9643 | 1.6537 | |
| | | 0.9003 | 2.0 | 19286 | 1.8666 | |
| | | 0.696 | 3.0 | 28929 | 2.0806 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.0 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 4.1.1 |
| | - Tokenizers 0.22.1 |
| |
|
