metadata
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: []
t5gemma-math-corrector
This model is a fine-tuned version of google/t5gemma-s-s-ul2-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.1757
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 |
|---|---|---|---|
| 0.0108 | 0.6774 | 200 | 4.4378 |
| 0.0034 | 1.3522 | 400 | 7.0770 |
| 0.002 | 2.0271 | 600 | 7.6245 |
| 0.0011 | 2.7045 | 800 | 7.1757 |
Framework versions
- PEFT 0.17.1
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4