Instructions to use janjibDEV/vit-plantnet300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janjibDEV/vit-plantnet300k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="janjibDEV/vit-plantnet300k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("janjibDEV/vit-plantnet300k") model = AutoModelForImageClassification.from_pretrained("janjibDEV/vit-plantnet300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
First commit
Browse files- README.md +12 -12
- config.json +282 -282
- model.safetensors +1 -1
- preprocessor_config.json +23 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the mikehemberger/plantnet300K dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the mikehemberger/plantnet300K dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7120
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- Accuracy: 0.8334
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 5.5499 | 0.0533 | 100 | 1.6445 | 0.6845 |
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| 2.6483 | 0.1067 | 200 | 1.1593 | 0.7562 |
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| 2.06 | 0.16 | 300 | 0.9665 | 0.7971 |
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| 1.8996 | 0.2133 | 400 | 0.8639 | 0.811 |
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| 1.7484 | 0.2667 | 500 | 0.8057 | 0.8204 |
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| 1.6329 | 0.32 | 600 | 0.7690 | 0.8259 |
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| 1.5462 | 0.3733 | 700 | 0.7431 | 0.8291 |
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| 1.5251 | 0.4267 | 800 | 0.7244 | 0.831 |
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| 1.4782 | 0.48 | 900 | 0.7150 | 0.8331 |
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| 1.4241 | 0.5333 | 1000 | 0.7120 | 0.8334 |
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### Framework versions
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config.json
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preprocessor_config.json
ADDED
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@@ -0,0 +1,23 @@
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{
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|
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|
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| 22 |
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training_args.bin
CHANGED
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