efficientnet-b0-finetuned-chest-xray-pneumonia

This model is a fine-tuned version of google/efficientnet-b0 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.2240
• Accuracy: 0.9349

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_FUSED 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
0.4634	1.0	37	0.4140	0.8506
0.2814	2.0	74	0.2240	0.9349
0.2495	3.0	111	0.2450	0.9157

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.0+cpu
• Datasets 4.4.1
• Tokenizers 0.22.1