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library_name: peft
license: gemma
base_model: google/gemma-3-4b-it
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: gemma-3-4b-it_sft_sg_values
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-3-4b-it_sft_sg_values
This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) on the sft_sg_values dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1852
## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1023 | 0.1869 | 250 | 0.8560 |
| 0.4428 | 0.3738 | 500 | 0.4380 |
| 0.2573 | 0.5607 | 750 | 0.2549 |
| 0.2055 | 0.7477 | 1000 | 0.1973 |
| 0.1766 | 0.9346 | 1250 | 0.1851 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1 |