Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +37 -0
- config.json +110 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- autotrain
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- vision
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- image-classification
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datasets:
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- friesel/autotrain-data-tarkov_images_reduced_i
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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co2_eq_emissions:
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emissions: 0.012961185602762902
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---
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# Model Trained Using AutoTrain
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- Problem type: Multi-class Classification
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- Model ID: 48889118355
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- CO2 Emissions (in grams): 0.0130
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## Validation Metrics
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- Loss: 0.039
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- Accuracy: 1.000
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- Macro F1: 1.000
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- Micro F1: 1.000
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- Weighted F1: 1.000
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- Macro Precision: 1.000
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- Micro Precision: 1.000
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- Weighted Precision: 1.000
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- Macro Recall: 1.000
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- Micro Recall: 1.000
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- Weighted Recall: 1.000
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config.json
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{
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"_name_or_path": "AutoTrain",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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},
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},
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"transformers_version": "4.25.1"
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:06059449305bfdb613d03a85080b193d9433c61b0a88c62196cd4c213367691c
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size 343385581
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