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jordyvl
/
dit-small_tobacco3482_kd_MSE

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Inference Endpoints
Model card Files Community
dit-small_tobacco3482_kd_MSE
File size: 1,500 Bytes 
a76d8d6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "microsoft/dit-base",
  "architectures": [
    "BeitForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "auxiliary_channels": 256,
  "auxiliary_concat_input": false,
  "auxiliary_loss_weight": 0.4,
  "auxiliary_num_convs": 1,
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 384,
  "id2label": {
    "0": "ADVE",
    "1": "Email",
    "2": "Form",
    "3": "Letter",
    "4": "Memo",
    "5": "News",
    "6": "Note",
    "7": "Report",
    "8": "Resume",
    "9": "Scientific"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "label2id": {
    "ADVE": 0,
    "Email": 1,
    "Form": 2,
    "Letter": 3,
    "Memo": 4,
    "News": 5,
    "Note": 6,
    "Report": 7,
    "Resume": 8,
    "Scientific": 9
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 0.1,
  "model_type": "beit",
  "num_attention_heads": 8,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "out_indices": [
    3,
    5,
    7,
    11
  ],
  "patch_size": 16,
  "pool_scales": [
    1,
    2,
    3,
    6
  ],
  "problem_type": "single_label_classification",
  "semantic_loss_ignore_index": 255,
  "torch_dtype": "float32",
  "transformers_version": "4.26.1",
  "use_absolute_position_embeddings": true,
  "use_auxiliary_head": true,
  "use_mask_token": true,
  "use_mean_pooling": true,
  "use_relative_position_bias": false,
  "use_shared_relative_position_bias": false,
  "vocab_size": 8192
}