metadata

license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
  - generated_from_trainer
model-index:
  - name: gm-lora-bfloat16-idefics2-8b-midefics
    results: []

gm-lora-bfloat16-idefics2-8b-midefics

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b 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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1