File size: 1,698 Bytes
9c63d45 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
{
"_name_or_path": "rmihaylov/bert-base-bg",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"by_layer_is_trainable": {
"0": true,
"1": true,
"10": true,
"11": true,
"12": true,
"13": true,
"14": true,
"15": true,
"16": true,
"17": true,
"18": true,
"19": true,
"2": true,
"20": true,
"21": true,
"22": true,
"23": true,
"3": true,
"4": true,
"5": true,
"6": true,
"7": true,
"8": true,
"9": true
},
"classifier_dropout": null,
"cls_trainable": true,
"directionality": "bidi",
"embedding_postprocessor_trainable": true,
"embeddings_layer_norm_trainable": true,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-KWD",
"2": "I-KWD"
},
"init_optimizer_variables": true,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-KWD": 1,
"I-KWD": 2,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_trainable": true,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"position_embeddings_trainable": true,
"token_type_trainable": true,
"torch_dtype": "float32",
"transformer_trainable": true,
"transformers_version": "4.28.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 119549,
"word_embeddings_trainable": true
}
|