Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +37 -0
- config.json +52 -0
- preprocessor_config.json +23 -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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- opiljain/autotrain-data-cardamage
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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: 0.6713036785630181
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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: 3762299975
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- CO2 Emissions (in grams): 0.6713
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## Validation Metrics
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- Loss: 0.711
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- Accuracy: 0.733
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- Macro F1: 0.531
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- Micro F1: 0.733
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- Weighted F1: 0.649
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- Macro Precision: 0.492
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- Micro Precision: 0.733
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- Weighted Precision: 0.588
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- Macro Recall: 0.583
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- Micro Recall: 0.733
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- Weighted Recall: 0.733
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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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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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6,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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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": "Door",
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"1": "FenderBender",
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"2": "hood"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"Door": "0",
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"FenderBender": "1",
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"hood": "2"
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},
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"layer_norm_eps": 1e-05,
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"max_length": 128,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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24
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],
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"num_layers": 4,
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"padding": "max_length",
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"patch_size": 4,
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"path_norm": true,
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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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"use_absolute_embeddings": false,
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"window_size": 7
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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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"feature_extractor_type": "ViTFeatureExtractor",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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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 sha256:9d9ae7facb9dc6710d2704e2bb532bc8af18667fe0eb03d79ba37e502d399504
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size 110397937
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