Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +37 -0
- config.json +49 -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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- SebasV/autotrain-data-tableros_factibilidad
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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: 0.18253460390372658
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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: 44246111622
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- CO2 Emissions (in grams): 0.1825
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## Validation Metrics
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- Loss: 1.397
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- Accuracy: 0.200
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- Macro F1: 0.100
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- Micro F1: 0.200
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- Weighted F1: 0.080
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- Macro Precision: 0.062
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- Micro Precision: 0.200
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- Weighted Precision: 0.050
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- Macro Recall: 0.250
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- Micro Recall: 0.200
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- Weighted Recall: 0.200
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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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"ResNetForImageClassification"
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],
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"depths": [
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3,
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4,
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6,
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3
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],
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"downsample_in_first_stage": false,
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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256,
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512,
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1024,
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2048
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],
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"id2label": {
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"0": "sin adecuaciones",
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"1": "tablero",
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"2": "tablero 2 medidores",
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"3": "tablero varios medidores"
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},
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"label2id": {
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"sin adecuaciones": "0",
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"tablero": "1",
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"tablero 2 medidores": "2",
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"tablero varios medidores": "3"
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},
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"layer_type": "bottleneck",
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"max_length": 128,
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"model_type": "resnet",
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"num_channels": 3,
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"out_features": null,
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"padding": "max_length",
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"problem_type": "single_label_classification",
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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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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"crop_pct": 0.875,
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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": "ConvNextFeatureExtractor",
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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": "ConvNextImageProcessor",
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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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"shortest_edge": 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:ee1a87f84ff17decca365403290a7b6a01f3d6adaacc77e7c541fefae27d6126
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size 94391373
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