BERT weights (68M parameters)
Browse files- bert68M/config.json +23 -0
- bert68M/tf_model.h5 +3 -0
bert68M/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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"classifier_dropout": null,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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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": 90,
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"model_type": "bert",
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"num_attention_heads": 4,
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"num_hidden_layers": 10,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 4251
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}
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bert68M/tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e53c55590b3feca0fa84ec2b32983202de65316df8438c37247e22491d8fc8b5
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size 292129060
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