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Upload ElectraForTokenClassification

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  1. config.json +52 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "experiments/llm-based/electra-base-discriminator_15",
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+ "architectures": [
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+ "ElectraForTokenClassification"
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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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+ "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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+ "id2label": {
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+ "0": "O",
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+ "1": "B-Event",
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+ "2": "I-Event",
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+ "3": "E-Event",
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+ "4": "S-Event",
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+ "5": "B-NonEvent",
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+ "6": "I-NonEvent",
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+ "7": "E-NonEvent",
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+ "8": "S-NonEvent"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "B-Event": 1,
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+ "B-NonEvent": 5,
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+ "E-Event": 3,
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+ "E-NonEvent": 7,
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+ "I-Event": 2,
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+ "I-NonEvent": 6,
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+ "O": 0,
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+ "S-Event": 4,
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+ "S-NonEvent": 8
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+ },
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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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+ "torch_dtype": "float32",
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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": 30522
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9f544e625f6a96e2ec8695c73b104ae5ccb3906c247222f8da205211c38e76c8
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+ size 435664237