Add model weights and configuration
Browse files- config.json +28 -0
- pytorch_model.bin +3 -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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"finetuning_task": null,
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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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"is_decoder": false,
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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": 12,
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"num_hidden_layers": 12,
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"num_labels": 4,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id": 0,
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"pruned_heads": {},
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"torchscript": false,
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"vocab_size": 28996
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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 sha256:1eae72c03d717ab5ca620f49d610a79b7bcb7bf2e5b38df15b93a8dbec88801b
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size 433303667
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