gemma_3_1b_causal_finetune
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: 0.1655
 
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: 4.9437983806413086e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 - 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: 1
 
Training results
| Training Loss | Epoch | Step | Validation Loss | 
|---|---|---|---|
| 0.4075 | 1.0 | 24 | 0.1655 | 
Framework versions
- Transformers 4.50.0.dev0
 - Pytorch 2.6.0
 - Datasets 3.4.0
 - Tokenizers 0.21.1
 
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Model tree for jacob-danner/gemma_3_1b_causal_finetune
Base model
google/gemma-3-1b-pt