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timm-vit_base_patch16_224.mae-lora – AI Model by sajjadi | AlphaNeural AI
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timm-vit_base_patch16_224.mae-lora
This model is a fine-tuned version of
vit_base_patch16_224.mae
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Accuracy: 0.0025
Solar Loss: nan
Solar Accuracy: 0.0025
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: 1.026182531124529
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
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: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.0.1
Tokenizers 0.21.0
