sagarpatelcompstak
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Browse files- README.md +41 -0
- checkpoint-184/config.json +35 -0
- checkpoint-184/model.safetensors +3 -0
- checkpoint-184/optimizer.pt +3 -0
- checkpoint-184/rng_state.pth +3 -0
- checkpoint-184/scheduler.pt +3 -0
- checkpoint-184/trainer_state.json +200 -0
- checkpoint-184/training_args.bin +3 -0
- config.json +35 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Sep20_19-10-03_r-sagarpatelcompstak-submission-classificaiton-lekwi2-57c52-aqq/events.out.tfevents.1726859405.r-sagarpatelcompstak-submission-classificaiton-lekwi2-57c52-aqq.178.0 +2 -2
- runs/Sep20_19-10-03_r-sagarpatelcompstak-submission-classificaiton-lekwi2-57c52-aqq/events.out.tfevents.1726860900.r-sagarpatelcompstak-submission-classificaiton-lekwi2-57c52-aqq.178.1 +3 -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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base_model: google/vit-base-patch16-224
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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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---
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# Model Trained Using AutoTrain
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- Problem type: Image Classification
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## Validation Metrics
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loss: 0.326568067073822
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f1_macro: 0.574992771283407
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f1_micro: 0.8994565217391305
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f1_weighted: 0.8962362631935303
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precision_macro: 0.5852941598199051
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precision_micro: 0.8994565217391305
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precision_weighted: 0.8948775064010129
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recall_macro: 0.566717099325795
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recall_micro: 0.8994565217391305
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recall_weighted: 0.8994565217391305
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accuracy: 0.8994565217391305
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checkpoint-184/config.json
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{
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"_name_or_path": "google/vit-base-patch16-224",
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"_num_labels": 3,
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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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"id2label": {
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"0": "lease",
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"1": "rentRoll",
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"2": "sales"
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},
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"sales": 2
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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}
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checkpoint-184/model.safetensors
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checkpoint-184/optimizer.pt
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