Upload folder using huggingface_hub
Browse files- README.md +32 -0
- checkpoint-30/config.json +28 -0
- checkpoint-30/model.safetensors +3 -0
- checkpoint-30/optimizer.pt +3 -0
- checkpoint-30/rng_state.pth +3 -0
- checkpoint-30/scheduler.pt +3 -0
- checkpoint-30/trainer_state.json +309 -0
- checkpoint-30/training_args.bin +3 -0
- config.json +28 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
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---
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tags:
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- autotrain
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- image-classification
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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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datasets:
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- autotrain-ixmt8-k1d0v/autotrain-data
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---
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# Model Trained Using AutoTrain
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- Problem type: Image Classification
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## Validation Metricsg
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loss: 0.3595740497112274
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f1: 0.9090909090909091
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precision: 0.8333333333333334
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recall: 1.0
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auc: 0.92
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accuracy: 0.9
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checkpoint-30/config.json
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{
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"_name_or_path": "google/mobilenet_v1_0.75_192",
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"_num_labels": 2,
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"architectures": [
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"MobileNetV1ForImageClassification"
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],
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"classifier_dropout_prob": 0.001,
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"depth_multiplier": 0.75,
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"hidden_act": "relu6",
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"id2label": {
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"0": "madura",
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"1": "nomadura"
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},
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"image_size": 192,
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"initializer_range": 0.02,
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"label2id": {
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"madura": 0,
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"nomadura": 1
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},
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"layer_norm_eps": 0.001,
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"min_depth": 8,
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"model_type": "mobilenet_v1",
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"num_channels": 3,
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"problem_type": "single_label_classification",
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"tf_padding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.38.0"
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}
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checkpoint-30/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ea117adafed85dd3b03153b435986f2250953262250bcf3ce90e86d69030d83
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size 7356136
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checkpoint-30/optimizer.pt
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size 14612026
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checkpoint-30/rng_state.pth
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size 13990
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checkpoint-30/scheduler.pt
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size 1064
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checkpoint-30/trainer_state.json
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