generated_from_trainer

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convnext-mlo-512-breat_composition

This model is a fine-tuned version of on the preprocessed1024_config dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.3433 1.0 796 1.1893 {'accuracy': 0.4566582914572864} {'f1': 0.32080438921262083}
1.1242 2.0 1592 1.0867 {'accuracy': 0.48555276381909546} {'f1': 0.4061780745199038}
1.0569 3.0 2388 1.1587 {'accuracy': 0.49120603015075376} {'f1': 0.40970823779940124}
0.9327 4.0 3184 0.9901 {'accuracy': 0.5452261306532663} {'f1': 0.4885626990630958}
0.8723 5.0 3980 0.9824 {'accuracy': 0.5728643216080402} {'f1': 0.5365052338942904}
0.7803 6.0 4776 1.0071 {'accuracy': 0.571608040201005} {'f1': 0.5246756181464156}
0.7198 7.0 5572 1.0233 {'accuracy': 0.5741206030150754} {'f1': 0.5405969058526473}
0.6589 8.0 6368 1.0902 {'accuracy': 0.5816582914572864} {'f1': 0.5421523761661359}
0.6055 9.0 7164 1.0980 {'accuracy': 0.5835427135678392} {'f1': 0.5601877104043351}
0.5722 10.0 7960 1.1521 {'accuracy': 0.5785175879396985} {'f1': 0.565251065728165}

Framework versions