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Browse files- autotrain-diffusion-emotion-facial-expression-recognition-40429105179/.gitattributes +0 -37
- autotrain-diffusion-emotion-facial-expression-recognition-40429105179/README.md +0 -37
- autotrain-diffusion-emotion-facial-expression-recognition-40429105179/config.json +0 -60
- autotrain-diffusion-emotion-facial-expression-recognition-40429105179/preprocessor_config.json +0 -23
- autotrain-diffusion-emotion-facial-expression-recognition-40429105179/pytorch_model.bin +0 -3
autotrain-diffusion-emotion-facial-expression-recognition-40429105179/.gitattributes
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autotrain-diffusion-emotion-facial-expression-recognition-40429105179/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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- kdhht2334/autotrain-data-diffusion-emotion-facial-expression-recognition
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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: 0.8786351270318874
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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: 40429105179
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- CO2 Emissions (in grams): 0.8786
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## Validation Metrics
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- Loss: 0.438
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- Accuracy: 0.866
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- Macro F1: 0.805
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- Micro F1: 0.866
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- Weighted F1: 0.863
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- Macro Precision: 0.820
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- Micro Precision: 0.866
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- Weighted Precision: 0.862
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- Macro Recall: 0.796
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- Micro Recall: 0.866
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- Weighted Recall: 0.866
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autotrain-diffusion-emotion-facial-expression-recognition-40429105179/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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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 128,
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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": 1024,
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"id2label": {
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"0": "angry",
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"1": "disgust",
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"2": "fear",
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"3": "happy",
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"4": "neutral",
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"5": "sad",
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"6": "surprise"
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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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"angry": "0",
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"disgust": "1",
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"fear": "2",
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"happy": "3",
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"neutral": "4",
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"sad": "5",
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"surprise": "6"
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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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4,
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8,
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16,
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32
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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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autotrain-diffusion-emotion-facial-expression-recognition-40429105179/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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autotrain-diffusion-emotion-facial-expression-recognition-40429105179/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b448cfc9f4c87fc54b4cecce08b92168aa9efe0db2fff19b206ba5c591b0114
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size 347620241
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