update

README.md

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+# BERT-uncased-2L-768H
+
+This is a converted pytorch checkpoint for bert with 2L trained from scratch.
+
+See [Google BERT](https://github.com/google-research/bert) for details.

config.json

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+{
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9a95d877370c1b9f16c6ae40ebbcfd902aac8c89e69d35f129ae47296df88d96
+size 156933910