Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +37 -0
- config.json +42 -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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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* 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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- Lloviant/autotrain-data-ex-and-pt
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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: 0.5722366196083666
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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: 3122688387
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- CO2 Emissions (in grams): 0.5722
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## Validation Metrics
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- Loss: 1.749
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- Accuracy: 0.571
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- Macro F1: 0.444
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- Micro F1: 0.571
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- Weighted F1: 0.476
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- Macro Precision: 0.417
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- Micro Precision: 0.571
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- Weighted Precision: 0.429
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- Macro Recall: 0.500
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- Micro Recall: 0.571
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- Weighted Recall: 0.571
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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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"id2label": {
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"0": "EX and PT",
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"1": "EX and PT Logo",
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"2": "EX and PT Mutant",
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"3": "EX and PT Mutants",
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"4": "EX and PT TCG",
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"5": "Vagitron"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"EX and PT": "0",
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"EX and PT Logo": "1",
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"EX and PT Mutant": "2",
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"EX and PT Mutants": "3",
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"EX and PT TCG": "4",
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"Vagitron": "5"
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},
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"layer_norm_eps": 1e-12,
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"max_length": 128,
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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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"padding": "max_length",
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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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"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 sha256:8719af319b748d628f464176be7e95ea5ef9e180cb26e3bbbd8068e4a6803c3b
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size 343281005
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