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awindb/swinv2-tiny-patch4-window8-256-finetuned-lora-food101
swinv2-tiny-patch4-window8-256-finetuned-lora-food101 is a machine learning model from awindb. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the cats_vs_dogs 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 |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.0096 | 1.0 |
| No log | 2.0 | 2 | 0.0025 | 1.0 |
| No log | 3.0 | 3 | 0.0006 | 1.0 |
| No log | 4.0 | 4 | 0.0002 | 1.0 |
| No log | 5.0 | 5 | 0.0001 | 1.0 |