|
{ |
|
"_name_or_path": "./bert/model", |
|
"architectures": [ |
|
"BertForSequenceClassification" |
|
], |
|
"attention_probs_dropout_prob": 0.1, |
|
"classifier_dropout": null, |
|
"directionality": "bidi", |
|
"hidden_act": "gelu", |
|
"hidden_dropout_prob": 0.1, |
|
"hidden_size": 768, |
|
"id2label": { |
|
"0": "Arabic", |
|
"1": "Danish", |
|
"2": "Dutch", |
|
"3": "English", |
|
"4": "French", |
|
"5": "German", |
|
"6": "Greek", |
|
"7": "Hindi", |
|
"8": "Italian", |
|
"9": "Kannada", |
|
"10": "Malayalam", |
|
"11": "Portugeese", |
|
"12": "Russian", |
|
"13": "Spanish", |
|
"14": "Sweedish", |
|
"15": "Tamil", |
|
"16": "Turkish" |
|
}, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 3072, |
|
"label2id": { |
|
"LABEL_0": 0, |
|
"LABEL_1": 1, |
|
"LABEL_10": 10, |
|
"LABEL_11": 11, |
|
"LABEL_12": 12, |
|
"LABEL_13": 13, |
|
"LABEL_14": 14, |
|
"LABEL_15": 15, |
|
"LABEL_16": 16, |
|
"LABEL_2": 2, |
|
"LABEL_3": 3, |
|
"LABEL_4": 4, |
|
"LABEL_5": 5, |
|
"LABEL_6": 6, |
|
"LABEL_7": 7, |
|
"LABEL_8": 8, |
|
"LABEL_9": 9 |
|
}, |
|
"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_type": "first_token_transform", |
|
"position_embedding_type": "absolute", |
|
"problem_type": "single_label_classification", |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.35.0", |
|
"type_vocab_size": 2, |
|
"use_cache": true, |
|
"vocab_size": 105879 |
|
} |
|
|