metadata

license: gemma
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-2b-it
datasets:
  - generator
model-index:
  - name: gemma-2b-it-peru-legal-es
    results: []

gemma-2b-it-peru-legal-es

This model is a fine-tuned version of google/gemma-2b-it on the generator 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: 2.5e-05
train_batch_size: 4
eval_batch_size: 1
seed: 66
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.10.0
Transformers 4.38.0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2