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idefics3-qlora-faces4 – AI Model by justinkarlin | AlphaNeural AI
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justinkarlin
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idefics3-qlora-faces4
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peft
tensorboard
safetensors
generated_from_trainer
imagefolder
HuggingFaceM4/Idefics3-8B-Llama3
adapter
apache-2.0
us
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idefics3-qlora-faces4
This model is a fine-tuned version of
HuggingFaceM4/Idefics3-8B-Llama3
on the imagefolder 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 0.13.2
Transformers 4.45.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
