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Datasets: https://www.kaggle.com/datasets/imbikramsaha/howard-cloudx
Loss: 2.2676
Accuracy: 0.2439386
Hyperparameters:
- hidden_size: 768
- labels: { '0': 'Altocumulus', '1': 'Altostratus', '2': 'Cirroculumulus', '3': 'Cirrostratus', '4': 'Cirrus', '5': 'Cumulonimbus', '6': 'Cumulus', '7': 'Nimbostratus', '8': 'Stratocumulus', '9': 'Stratus'}
- image_size: 400
- num_channels: 1
- num_hidden_layers: 2
Framework versions
- Transformers 4.33.1
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dini-r-a/cloud-classification", dtype="auto")