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convnext-tiny-224-finetuned-alzheimer-MRI – AI Model by BeckerAnas | AlphaNeural AI
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convnext-tiny-224-finetuned-alzheimer-MRI
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transformers
tensorboard
safetensors
convnext
image-classification
generated_from_trainer
facebook/convnext-tiny-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnext-tiny-224-finetuned-alzheimer-MRI
This model is a fine-tuned version of
facebook/convnext-tiny-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8995
Accuracy: 0.5602
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0151
1.0
36
0.9395
0.5391
0.9132
2.0
72
0.8595
0.5508
0.876
3.0
108
0.8437
0.5488
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
