metadata

license: other
base_model: HuggingFaceM4/idefics-9b-instruct
tags:
  - generated_from_trainer
model-index:
  - name: idefics-9b-instruct-ft-instruct-compact
    results: []

idefics-9b-instruct-ft-instruct-compact

This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.0.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0