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Saving best model to hub
028a07e
{
"_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": "4.28.0.dev0",
"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
}