beta version of heBERT model and tokenizer.
Browse files- config.json +21 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
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": 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": 514,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"total_flos": 654179072833689600,
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"type_vocab_size": 1,
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"vocab_size": 52000
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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 sha256:26abc87d40757a514055e231d2228292943b3af60145696c9b11dc1349a37c80
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size 334066887
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ef14c409799cbcb2a517291712ff34757e07bda7b50b69098585126148801a5
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size 1775
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vocab.txt
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