Upload ViTForImageClassification
Browse files- config.json +58 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "./har_vit_finetuned/",
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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": "calling",
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"1": "clapping",
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"2": "cycling",
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"3": "dancing",
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"4": "drinking",
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"5": "eating",
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"6": "fighting",
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"7": "hugging",
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"8": "laughing",
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"9": "listening_to_music",
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"10": "running",
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"11": "sitting",
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"12": "sleeping",
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"13": "texting",
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"14": "using_laptop"
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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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"calling": 0,
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"clapping": 1,
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"cycling": 2,
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"dancing": 3,
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"drinking": 4,
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"eating": 5,
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"fighting": 6,
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"hugging": 7,
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"laughing": 8,
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"listening_to_music": 9,
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"running": 10,
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"sitting": 11,
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"sleeping": 12,
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"texting": 13,
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"using_laptop": 14
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},
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"layer_norm_eps": 1e-12,
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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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"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": "4.26.1"
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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 sha256:470d5b3402ebb6a4bc11e22a7788c9ed9705cc4c7b4a90c61c82797257ef3e91
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size 343305965
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