medsiglip-448

This model is a fine-tuned version of google/medsiglip-448 on the vllm-pneumonia-detection/mimic-cxr-labelled-dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.2236
F1-score: 0.7601
Sensitivity: 0.4673
Specificity: 0.9754
Recall: 0.7213
Precision: 0.8271
Accuracy: 0.9135

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-06
train_batch_size: 96
eval_batch_size: 96
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: cosine
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score	Sensitivity	Specificity	Recall	Precision	Accuracy
0.2792	0.4363	500	0.2565	0.733	0.4112	0.9754	0.6933	0.8106	0.9067
0.2243	0.8726	1000	0.2367	0.7376	0.4206	0.9754	0.698	0.8135	0.9078
0.2088	1.3089	1500	0.2167	0.7792	0.5047	0.9767	0.7407	0.8422	0.9192
0.2079	1.7452	2000	0.2220	0.7525	0.4112	0.9883	0.6998	0.877	0.9181
0.1989	2.1815	2500	0.2236	0.7601	0.4673	0.9754	0.7213	0.8271	0.9135