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idefics2-8b-vqa-rad-finetuned – AI Model by rinogrego | AlphaNeural AI | AlphaNeural AI

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rinogrego/
idefics2-8b-vqa-rad-finetuned

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HuggingFaceM4/idefics2-8b

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idefics2-8b-vqa-rad-finetuned

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: 0.0003
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.42.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1