First version of the chinese_roberta_L-4_H-256 model and tokenizer.
Browse files- README.md +7 -0
- config.json +20 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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---
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language: Chinese
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datasets: CLUECorpus
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widget:
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- text: "北京是[MASK]国的首都。"
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---
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config.json
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{
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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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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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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": 4,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 21128
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f24eea6e22b78c41a09523bdfd34f89ebcac275db94edb4c906799c20167c2a
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size 35183943
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4da203fea41cc4080a57e56cb12e922db9430cac58f5691a02ce0427bb867d0
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size 57693248
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tokenizer_config.json
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{"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512}
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vocab.txt
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