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{ |
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"_name_or_path": "rmihaylov/bert-base-bg", |
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"architectures": [ |
|
"BertForSequenceClassification" |
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], |
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"by_layer_is_trainable": { |
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"0": true, |
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"1": true, |
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"10": true, |
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"11": true, |
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"12": true, |
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"13": true, |
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"14": true, |
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"15": true, |
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"16": true, |
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"17": true, |
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"18": true, |
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"19": true, |
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"2": true, |
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"20": true, |
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"21": true, |
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"22": true, |
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"23": true, |
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"3": true, |
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"4": true, |
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"5": true, |
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"6": true, |
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"7": true, |
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"8": true, |
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"9": true |
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}, |
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"cls_trainable": true, |
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"directionality": "bidi", |
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"embedding_postprocessor_trainable": true, |
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"embeddings_layer_norm_trainable": true, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.1, |
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"hidden_size": 768, |
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"id2label": { |
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"0": "LABEL_0", |
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"1": "LABEL_1", |
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"2": "LABEL_2", |
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"3": "LABEL_3" |
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}, |
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"init_optimizer_variables": true, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"label2id": { |
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"LABEL_0": 0, |
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"LABEL_1": 1, |
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"LABEL_2": 2, |
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"LABEL_3": 3 |
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}, |
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"layer_norm_eps": 1e-12, |
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"max_position_embeddings": 512, |
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"model_type": "bert", |
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"num_attention_heads": 12, |
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"num_hidden_layers": 12, |
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"pad_token_id": 0, |
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"pooler_fc_size": 768, |
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"pooler_num_attention_heads": 12, |
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"pooler_num_fc_layers": 3, |
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"pooler_size_per_head": 128, |
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"pooler_trainable": true, |
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"pooler_type": "first_token_transform", |
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"position_embedding_type": "absolute", |
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"position_embeddings_trainable": true, |
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"problem_type": "single_label_classification", |
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"token_type_trainable": true, |
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"torch_dtype": "float32", |
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"transformer_trainable": true, |
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"transformers_version": "4.41.2", |
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"type_vocab_size": 2, |
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"use_cache": true, |
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"vocab_size": 119547, |
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"word_embeddings_trainable": true |
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} |
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|