This model is a fine-tuned version of LaLegumbreArtificial/Fraunhofer_Classical on the imagefolder dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0716 | 0.9976 | 208 | 0.8637 | 0.7752 |
| 0.0478 | 2.0 | 417 | 0.7157 | 0.8339 |
| 0.0408 | 2.9976 | 625 | 0.9172 | 0.8080 |
| 0.031 | 4.0 | 834 | 0.9607 | 0.8104 |
| 0.0258 | 4.9880 | 1040 | 1.1740 | 0.7614 |
