| --- |
| library_name: peft |
| license: gemma |
| base_model: google/t5gemma-s-s-ul2-it |
| tags: |
| - base_model:adapter:google/t5gemma-s-s-ul2-it |
| - lora |
| - transformers |
| model-index: |
| - name: t5gemma-math-corrector |
| 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. --> |
|
|
| # t5gemma-math-corrector |
|
|
| This model is a fine-tuned version of [google/t5gemma-s-s-ul2-it](https://huggingface.co/google/t5gemma-s-s-ul2-it) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.8249 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.0085 | 0.6415 | 200 | 0.6018 | |
| | 0.0029 | 1.2823 | 400 | 1.9704 | |
| | 0.001 | 1.9238 | 600 | 3.8351 | |
| | 0.0005 | 2.5646 | 800 | 3.8249 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.17.1 |
| - Transformers 4.55.2 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.4 |
