metadata

base_model: HuggingFaceM4/idefics-9b
library_name: peft
license: other
tags:
  - generated_from_trainer
model-index:
  - name: idefics-9b-logo
    results: []

idefics-9b-logo

This model is a fine-tuned version of HuggingFaceM4/idefics-9b on an unknown 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: 0.0002
train_batch_size: 2
eval_batch_size: 2
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
training_steps: 20
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1