100% accuracy when finetuning model

[nehakulkarni15]

Hello, I used TSAI to build a model and use the pretrained weights on a separate dataset to finetune. However, I am getting 100% accuracy when testing this dataset. Could anyone help me troubleshoot?

code:
fineTuneName=f'{modelname}_fineTune'
dls3 = get_ts_dls(VLeftavgGut, yNew, splits=new_splits, tfms=tfms, batch_tfms=batch_tfms, path='/Users/nehakulkarni/Documents/GitHub/final-project-musculoskeletal-injury-location')
learn_pre_trained_FT = ts_learner(dls3, ResNetPlus, pretrained=True,\

                           weights_path=f'models/{modelname}_pretrain.pth',cbs = ShowGraph(),metrics=[accuracy, BalancedAccuracy(), F1Score()])

learn_pre_trained_FT.fine_tune(5, 1e-3)
learn_pre_trained_FT.export(f'{fineTuneName}.pth')
learn_pre_trained_FT.save(fineTuneName)

output:
check unmatched_layers: ['backbone.0.convblock1.0.weight', 'backbone.0.convblock1.1.weight', 'backbone.0.convblock1.1.bias', 'backbone.0.convblock1.1.running_mean', 'backbone.0.convblock1.1.running_var', 'backbone.0.convblock2.0.weight', 'backbone.0.convblock2.1.weight', 'backbone.0.convblock2.1.bias', 'backbone.0.convblock2.1.running_mean', 'backbone.0.convblock2.1.running_var', 'backbone.0.convblock3.0.weight', 'backbone.0.convblock3.1.weight', 'backbone.0.convblock3.1.bias', 'backbone.0.convblock3.1.running_mean', 'backbone.0.convblock3.1.running_var', 'backbone.0.shortcut.0.weight', 'backbone.0.shortcut.1.weight', 'backbone.0.shortcut.1.bias', 'backbone.0.shortcut.1.running_mean', 'backbone.0.shortcut.1.running_var', 'backbone.1.convblock1.0.weight', 'backbone.1.convblock1.1.weight', 'backbone.1.convblock1.1.bias', 'backbone.1.convblock1.1.running_mean', 'backbone.1.convblock1.1.running_var', 'backbone.1.convblock2.0.weight', 'backbone.1.convblock2.1.weight', 'backbone.1.convblock2.1.bias', 'backbone.1.convblock2.1.running_mean', 'backbone.1.convblock2.1.running_var', 'backbone.1.convblock3.0.weight', 'backbone.1.convblock3.1.weight', 'backbone.1.convblock3.1.bias', 'backbone.1.convblock3.1.running_mean', 'backbone.1.convblock3.1.running_var', 'backbone.1.shortcut.0.weight', 'backbone.1.shortcut.1.weight', 'backbone.1.shortcut.1.bias', 'backbone.1.shortcut.1.running_mean', 'backbone.1.shortcut.1.running_var', 'backbone.2.convblock1.0.weight', 'backbone.2.convblock1.1.weight', 'backbone.2.convblock1.1.bias', 'backbone.2.convblock1.1.running_mean', 'backbone.2.convblock1.1.running_var', 'backbone.2.convblock2.0.weight', 'backbone.2.convblock2.1.weight', 'backbone.2.convblock2.1.bias', 'backbone.2.convblock2.1.running_mean', 'backbone.2.convblock2.1.running_var', 'backbone.2.convblock3.0.weight', 'backbone.2.convblock3.1.weight', 'backbone.2.convblock3.1.bias', 'backbone.2.convblock3.1.running_mean', 'backbone.2.convblock3.1.running_var', 'backbone.2.shortcut.weight', 'backbone.2.shortcut.bias', 'backbone.2.shortcut.running_mean', 'backbone.2.shortcut.running_var']

[nehakulkarni15]

Also, when I try to display the confusion matrix I get this