metadata

base_model: HuggingFaceM4/Idefics3-8B-Llama3
datasets:
  - imagefolder
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: idefics3-qlora-faces3
    results: []

idefics3-qlora-faces3

This model is a fine-tuned version of HuggingFaceM4/Idefics3-8B-Llama3 on the imagefolder 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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 1

Training results

Framework versions

PEFT 0.13.2
Transformers 4.45.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1