Upload folder using huggingface_hub
Browse files- README.md +42 -0
- checkpoint-4386/config.json +98 -0
- checkpoint-4386/model.safetensors +3 -0
- checkpoint-4386/optimizer.pt +3 -0
- checkpoint-4386/rng_state.pth +3 -0
- checkpoint-4386/scheduler.pt +3 -0
- checkpoint-4386/trainer_state.json +1300 -0
- checkpoint-4386/training_args.bin +3 -0
- config.json +98 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/May03_08-08-24_60f4804cf903/events.out.tfevents.1714723705.60f4804cf903.11751.0 +2 -2
- runs/May03_08-08-24_60f4804cf903/events.out.tfevents.1714724719.60f4804cf903.11751.1 +3 -0
- training_args.bin +3 -0
- training_params.json +27 -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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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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datasets:
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- autotrain-swinv2-tiny-patch4-window8-256/autotrain-data
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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: 0.2802155911922455
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f1_macro: 0.7552413664079601
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f1_micro: 0.9061113007852509
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f1_weighted: 0.9035670983782715
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precision_macro: 0.8498221458985794
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precision_micro: 0.9061113007852509
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precision_weighted: 0.9095288940815534
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recall_macro: 0.7266443770545475
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recall_micro: 0.9061113007852509
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recall_weighted: 0.9061113007852509
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accuracy: 0.9061113007852509
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checkpoint-4386/config.json
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{
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"_name_or_path": "microsoft/swinv2-tiny-patch4-window8-256",
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"_num_labels": 17,
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"architectures": [
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"Swinv2ForImageClassification"
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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": "AadhaarBack",
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"1": "AadhaarBackMasked",
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"2": "AadhaarFront",
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"3": "AadhaarFrontMasked",
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"4": "AadhaarRegular",
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"5": "AadhaarRegularMasked",
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"6": "AadhaarSelfGenerated",
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"7": "DrivingLicenseNew",
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"8": "DrivingLicenseOld",
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"9": "MultipleOVDs",
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"10": "PanCard",
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"11": "PassportFirst",
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"12": "PassportLast",
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"13": "PassportRegular",
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"14": "VoterCardBack",
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"15": "VoterCardFront",
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"16": "VoterCardRegular"
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"AadhaarBack": 0,
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"AadhaarBackMasked": 1,
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"AadhaarFront": 2,
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"AadhaarFrontMasked": 3,
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"AadhaarRegular": 4,
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"AadhaarRegularMasked": 5,
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"AadhaarSelfGenerated": 6,
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"DrivingLicenseNew": 7,
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"DrivingLicenseOld": 8,
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"MultipleOVDs": 9,
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"PanCard": 10,
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"PassportFirst": 11,
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"PassportLast": 12,
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"PassportRegular": 13,
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"VoterCardBack": 14,
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"VoterCardFront": 15,
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"VoterCardRegular": 16
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swinv2",
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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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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"patch_size": 4,
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"path_norm": true,
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"pretrained_window_sizes": [
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0,
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0,
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0,
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0
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],
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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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": "4.40.1",
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"use_absolute_embeddings": false,
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"window_size": 8
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}
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checkpoint-4386/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27b710e007c37457688de5a0f4b11dee19fa7b8c2f1a4371d8ddca2ddc5484a1
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size 110396292
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checkpoint-4386/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fbdd3f8c790293e61f9790184660e095cc372e01075874bf1dd0ee20fc73609
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size 220933562
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checkpoint-4386/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:15e41c5c98f9bf77d037ceeb70a991753e70502f1c81723240cbd3212cea7379
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size 14244
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checkpoint-4386/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a9520946c87e17c4825a16ec41ef338fab797f8f1213c506e0a88b430b9bba4
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size 1064
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checkpoint-4386/trainer_state.json
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ADDED
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