metadata

base_model: google/gemma-2-9b-it
library_name: peft
license: other
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: train_gemma2
    results: []

train_gemma2

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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.19.1