ahyar002's picture
Training in progress, epoch 1
8651d06
{
"_name_or_path": "google/vit-base-patch16-224-in21k",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "calling",
"1": "clapping",
"10": "running",
"11": "sitting",
"12": "sleeping",
"13": "texting",
"14": "using_laptop",
"2": "cycling",
"3": "dancing",
"4": "drinking",
"5": "eating",
"6": "fighting",
"7": "hugging",
"8": "laughing",
"9": "listening_to_music"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"calling": "0",
"clapping": "1",
"cycling": "2",
"dancing": "3",
"drinking": "4",
"eating": "5",
"fighting": "6",
"hugging": "7",
"laughing": "8",
"listening_to_music": "9",
"running": "10",
"sitting": "11",
"sleeping": "12",
"texting": "13",
"using_laptop": "14"
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.34.0"
}