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narrativeqa-onnx

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ONNX
bart
adapterhub:qa/narrativeqa
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narrativeqa-onnx
File size: 3,158 Bytes 
5bafffd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "facebook/bart-base",
  "activation_dropout": 0.1,
  "activation_function": "gelu",
  "adapters": {
    "adapters": {
      "narrativeqa": "9076f36a74755ac4"
    },
    "config_map": {
      "9076f36a74755ac4": {
        "adapter_residual_before_ln": false,
        "cross_adapter": false,
        "factorized_phm_W": true,
        "factorized_phm_rule": false,
        "hypercomplex_nonlinearity": "glorot-uniform",
        "init_weights": "bert",
        "inv_adapter": null,
        "inv_adapter_reduction_factor": null,
        "is_parallel": false,
        "learn_phm": true,
        "leave_out": [],
        "ln_after": false,
        "ln_before": false,
        "mh_adapter": false,
        "non_linearity": "relu",
        "original_ln_after": true,
        "original_ln_before": true,
        "output_adapter": true,
        "phm_bias": true,
        "phm_c_init": "normal",
        "phm_dim": 4,
        "phm_init_range": 0.0001,
        "phm_layer": false,
        "phm_rank": 1,
        "reduction_factor": 16,
        "residual_before_ln": true,
        "scaling": 1.0,
        "shared_W_phm": false,
        "shared_phm_rule": true,
        "use_gating": false
      }
    },
    "fusion_config_map": {},
    "fusions": {}
  },
  "add_bias_logits": false,
  "add_final_layer_norm": false,
  "architectures": [
    "BartModelWithHeads"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 0,
  "classif_dropout": 0.1,
  "classifier_dropout": 0.0,
  "d_model": 768,
  "decoder_attention_heads": 12,
  "decoder_ffn_dim": 3072,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 6,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "early_stopping": true,
  "encoder_attention_heads": 12,
  "encoder_ffn_dim": 3072,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "eos_token_id": 2,
  "forced_bos_token_id": 0,
  "forced_eos_token_id": 2,
  "gradient_checkpointing": false,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "max_position_embeddings": 1024,
  "model_type": "bart",
  "no_repeat_ngram_size": 3,
  "normalize_before": false,
  "normalize_embedding": true,
  "num_beams": 4,
  "num_hidden_layers": 6,
  "pad_token_id": 1,
  "prediction_heads": {
    "narrativeqa": {
      "activation_function": null,
      "bias": false,
      "head_type": "seq2seq_lm",
      "label2id": null,
      "layer_norm": false,
      "layers": 1,
      "shift_labels": false,
      "vocab_size": 50265
    }
  },
  "scale_embedding": false,
  "task_specific_params": {
    "summarization": {
      "length_penalty": 1.0,
      "max_length": 128,
      "min_length": 12,
      "num_beams": 4
    },
    "summarization_cnn": {
      "length_penalty": 2.0,
      "max_length": 142,
      "min_length": 56,
      "num_beams": 4
    },
    "summarization_xsum": {
      "length_penalty": 1.0,
      "max_length": 62,
      "min_length": 11,
      "num_beams": 6
    }
  },
  "torch_dtype": "float32",
  "transformers_version": "4.21.3",
  "use_cache": false,
  "vocab_size": 50265
}