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--- |
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library_name: peft |
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license: gemma |
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base_model: google/gemma-3-4b-it |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: gemma-3-4b-it_sft_sg_values |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gemma-3-4b-it_sft_sg_values |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1852 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.1023 | 0.1869 | 250 | 0.8560 | |
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| 0.4428 | 0.3738 | 500 | 0.4380 | |
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| 0.2573 | 0.5607 | 750 | 0.2549 | |
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| 0.2055 | 0.7477 | 1000 | 0.1973 | |
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| 0.1766 | 0.9346 | 1250 | 0.1851 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.21.0 |
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- Tokenizers 0.21.1 |
