metadata
library_name: peft
license: other
base_model: unsloth/gemma-2-9b-it-bnb-4bit
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: gemma2-9b-finetuned
results: []
gemma2-9b-finetuned
This model is a fine-tuned version of google/gemma-2-9b-it on the treino_pt_rde 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.2.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3