metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-large-patch32-384
tags:
- generated_from_trainer
model-index:
- name: sagarsahu_ECG-XRAY-ViT
results: []
datasets:
- sagar27kumar/ECG-XRAY-dataset
language:
- en
pipeline_tag: image-classification
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