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vit-finetuned-iqa – AI Model by Jayn8 | AlphaNeural AI
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Jayn8
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vit-finetuned-iqa
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
Jayn8/vit-finetuned-iqa
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-retrain
This model is a fine-tuned version of
Jayn8/vit-finetuned-iqa
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
