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idefics3-llama-vqav2 – AI Model by joris-sense | AlphaNeural AI | AlphaNeural AI

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idefics3-llama-vqav2

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HuggingFaceM4/Idefics3-8B-Llama3

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idefics3-llama-vqav2

This model is a fine-tuned version of HuggingFaceM4/Idefics3-8B-Llama3 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: 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 0.12.0
Transformers 4.44.0.dev0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1