|
{ |
|
"_name_or_path": "bert-base-multilingual-cased", |
|
"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": "ar", |
|
"1": "bg", |
|
"2": "de", |
|
"3": "el", |
|
"4": "en", |
|
"5": "es", |
|
"6": "fr", |
|
"7": "hi", |
|
"8": "it", |
|
"9": "ja", |
|
"10": "nl", |
|
"11": "pl", |
|
"12": "pt", |
|
"13": "ru", |
|
"14": "sw", |
|
"15": "th", |
|
"16": "tr", |
|
"17": "ur", |
|
"18": "vi", |
|
"19": "zh" |
|
}, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 3072, |
|
"label2id": { |
|
"ar": 0, |
|
"bg": 1, |
|
"de": 2, |
|
"el": 3, |
|
"en": 4, |
|
"es": 5, |
|
"fr": 6, |
|
"hi": 7, |
|
"it": 8, |
|
"ja": 9, |
|
"nl": 10, |
|
"pl": 11, |
|
"pt": 12, |
|
"ru": 13, |
|
"sw": 14, |
|
"th": 15, |
|
"tr": 16, |
|
"ur": 17, |
|
"vi": 18, |
|
"zh": 19 |
|
}, |
|
"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": "4.35.2", |
|
"type_vocab_size": 2, |
|
"use_cache": true, |
|
"vocab_size": 119547 |
|
} |
|
|