gemma_zarma_pretrain
This model is a fine-tuned version of google/gemma-3-270m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2548
- Perplexity: 3.5073
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3997 | 1.0 | 5625 | 1.4184 |
| 1.224 | 2.0 | 11250 | 1.2855 |
| 1.0916 | 3.0 | 16875 | 1.2548 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1