metadata
library_name: peft
license: gemma
base_model: google/gemma-3-27b-it
tags:
- base_model:adapter:google/gemma-3-27b-it
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: single-gpu-27b
results: []
single-gpu-27b
This model is a fine-tuned version of google/gemma-3-27b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1766
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6974 | 0.7529 | 200 | 0.2047 |
| 1.3425 | 1.5045 | 400 | 0.1809 |
| 1.0936 | 2.2560 | 600 | 0.1766 |
Framework versions
- PEFT 0.17.0
- Transformers 4.56.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.0