Fill-Mask
Transformers
PyTorch
Bulgarian
bert
torch
File size: 1,586 Bytes
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{
  "_name_or_path": "/content/drive/MyDrive/ColabModels/MBERT/pytorch_model/",
  "architectures": [
    "BertForMaskedLM"
  ],
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  "by_layer_is_trainable": {
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    "14": true,
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    "17": true,
    "18": true,
    "19": true,
    "2": true,
    "20": true,
    "21": true,
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    "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,
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  "init_optimizer_variables": true,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
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  "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": "4.18.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547,
  "word_embeddings_trainable": true
}