add: electra-base, wordpiece, 30,000
Browse files- config.json +26 -0
- pytorch_model.bin +3 -0
- tokenizer_config.json +4 -0
- vocab.txt +0 -0
config.json
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{
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"architectures": [
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"ElectraForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 768,
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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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"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": "electra",
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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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"position_embedding_type": "absolute",
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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"transformers_version": "4.11.3",
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"type_vocab_size": 2,
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"vocab_size": 30000
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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:b2ede08fa27eca313bc9baee748cd936728d68b85cd240f3ab6ed72b3a184f37
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size 436411053
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tokenizer_config.json
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{
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"do_lower_case": false
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}
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vocab.txt
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