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gemma-lora-single
This model is a fine-tuned version of google/gemma-3-270m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4950
- Accuracy: 0.0397
- F1: 0.0289
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use 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: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 28.05 | 1.0 | 11 | 3.4939 | 0.0556 | 0.0363 |
| 26.0125 | 2.0 | 22 | 3.4942 | 0.0635 | 0.0327 |
| 25.8375 | 3.0 | 33 | 3.4945 | 0.0397 | 0.0070 |
| 25.6719 | 4.0 | 44 | 3.4947 | 0.0476 | 0.0117 |
| 25.5047 | 5.0 | 55 | 3.4950 | 0.0397 | 0.0289 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.1
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Base model
google/gemma-3-270m