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sagarsahu_ECG-XRAY-ViT – AI Model by sagar27kumar | AlphaNeural AI
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sagarsahu_ECG-XRAY-ViT
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transformers
safetensors
vit
image-classification
generated_from_trainer
en
sagar27kumar/ECG-XRAY-dataset
google/vit-large-patch32-384
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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sagarsahu_ECG-XRAY-ViT
This model is a fine-tuned version of
google/vit-large-patch32-384
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0919
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.2773
1.0
116
0.1050
0.0739
2.0
232
0.0919
Framework versions
Transformers 4.48.1
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.0
