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amlm_hard_nhot
File size: 1,138 Bytes
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{
  "architectures": [
    "NGramDebertaV2ForMaskedLM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "ngram_model.NGramConfigMLM",
    "AutoModel": "ngram_model.NGramDebertaV2Model",
    "AutoModelForMaskedLM": "ngram_model.NGramDebertaV2ForMaskedLM"
  },
  "bos_token_id": 1,
  "cls_token_id": 1,
  "dropout": 0.1,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "initializer_range": 0.02,
  "intermediate_size": 1280,
  "layer_norm_eps": 1e-07,
  "legacy": true,
  "max_position_embeddings": 1024,
  "max_relative_positions": -1,
  "model_type": "ngram-deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 768,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "sep_token_id": 2,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.54.1",
  "type_vocab_size": 0,
  "vocab_size": 40000
}