add model
Browse files- config.json +66 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "/content/drive/MyDrive/ColabModels/MBERT/pytorch_model/",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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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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"classifier_dropout": null,
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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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"init_optimizer_variables": true,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"token_type_trainable": true,
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"torch_dtype": "float32",
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"transformer_trainable": true,
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"transformers_version": "4.18.0",
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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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pytorch_model.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:43c050b1676cfd819fdeb2b895a1e3e2ad7ffcd9ba2fd90dbb68007d85293630
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size 711966827
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