metadata
library_name: peft
license: gemma
base_model: google/gemma-3-1b-pt
tags:
- generated_from_trainer
model-index:
- name: gemma_3_1b_causal_finetune_lora
results: []
gemma_3_1b_causal_finetune_lora
This model is a fine-tuned version of google/gemma-3-1b-pt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5270
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: 6.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6969 | 1.0 | 12 | 0.9517 |
| 0.7666 | 2.0 | 24 | 0.6638 |
| 0.5743 | 3.0 | 36 | 0.5845 |
| 0.4948 | 4.0 | 48 | 0.5431 |
| 0.436 | 5.0 | 60 | 0.5176 |
| 0.4011 | 6.0 | 72 | 0.5075 |
| 0.3743 | 7.0 | 84 | 0.5028 |
| 0.3507 | 8.0 | 96 | 0.5099 |
| 0.3313 | 9.0 | 108 | 0.5267 |
| 0.3121 | 10.0 | 120 | 0.5270 |
Framework versions
- PEFT 0.15.2.dev0
- Transformers 4.51.0.dev0
- Pytorch 2.6.0
- Datasets 3.4.0
- Tokenizers 0.21.1