autotrain-chest-xray-demo-1677859324-finetuned-eurosat

This model is a fine-tuned version of juliensimon/autotrain-chest-xray-demo-1677859324 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0731
• Accuracy: 0.9713

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
0.268	0.9796	36	0.0862	0.9617
0.1635	1.9796	72	0.0767	0.9674
0.1039	2.9796	108	0.0731	0.9713

Framework versions

• Transformers 4.48.2
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0