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medai-vision-categorizer – AI Model by AbishekFranklin | AlphaNeural AI
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medai-vision-categorizer
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transformers
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
endpoints_compatible
us
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medai-vision-categorizer
This model is a fine-tuned version of
google/vit-base-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0002
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Training Loss
Epoch
Step
Validation Loss
0.0044
1.0
250
0.0006
0.0002
2.0
500
0.0003
0.0001
3.0
750
0.0002
Framework versions
Transformers 4.57.6
Pytorch 2.11.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
