metadata
library_name: peft
license: other
base_model: google/gemma-3-4b-it
tags:
- base_model:adapter:google/gemma-3-4b-it
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gemma3_4b_it_qlora
results: []
gemma3_4b_it_qlora
This model is a fine-tuned version of google/gemma-3-4b-it on the train dataset.
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.4.1+cu124
- Datasets 4.0.0
- Tokenizers 0.22.1