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padilfm/results
results is a image classification model from padilfm. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors343 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of google/vit-base-patch16-224-in21k 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 |
|---|---|---|---|---|
| 2.0569 | 1.0 | 20 | 2.0360 | 0.1938 |
| 1.9499 | 2.0 | 40 | 1.9751 | 0.325 |
| 1.8401 | 3.0 | 60 | 1.8969 | 0.4125 |
| 1.7302 | 4.0 | 80 | 1.8159 | 0.4625 |
| 1.6452 | 5.0 | 100 | 1.7533 | 0.4437 |
| 1.5509 | 6.0 | 120 | 1.7124 | 0.4938 |
| 1.4928 | 7.0 | 140 | 1.6806 | 0.5125 |
| 1.4412 | 8.0 | 160 | 1.6631 | 0.4938 |
| 1.407 | 9.0 | 180 | 1.6530 | 0.5 |
| 1.4025 | 10.0 | 200 | 1.6499 | 0.4938 |