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distilhubert-finetuned-multi-label

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distilhubert-finetuned-multi-label
File size: 2,298 Bytes 
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{
  "_name_or_path": "ntu-spml/distilhubert",
  "activation_dropout": 0.1,
  "apply_spec_augment": false,
  "architectures": [
    "HubertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "conv_bias": false,
  "conv_dim": [
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "conv_kernel": [
    10,
    3,
    3,
    3,
    3,
    2,
    2
  ],
  "conv_stride": [
    5,
    2,
    2,
    2,
    2,
    2,
    2
  ],
  "ctc_loss_reduction": "sum",
  "ctc_zero_infinity": false,
  "do_stable_layer_norm": false,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_norm": "group",
  "feat_proj_dropout": 0.0,
  "feat_proj_layer_norm": false,
  "final_dropout": 0.0,
  "hidden_act": "gelu",
  "hidden_dropout": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Chorus",
    "1": "Tremolo",
    "2": "Distortion",
    "3": "Fuzzy",
    "4": "Granular",
    "5": "Loop",
    "6": "Bit reduction",
    "7": "Reverb",
    "8": "Filtered",
    "9": "Resonators",
    "10": "Flanger",
    "11": "Pitch-shift",
    "12": "Stretched",
    "13": "Delay",
    "14": "Eco",
    "15": "Vibrato",
    "16": "Filter Modulation",
    "17": "Glissando"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Bit reduction": 6,
    "Chorus": 0,
    "Delay": 13,
    "Distortion": 2,
    "Eco": 14,
    "Filter Modulation": 16,
    "Filtered": 8,
    "Flanger": 10,
    "Fuzzy": 3,
    "Glissando": 17,
    "Granular": 4,
    "Loop": 5,
    "Pitch-shift": 11,
    "Resonators": 9,
    "Reverb": 7,
    "Stretched": 12,
    "Tremolo": 1,
    "Vibrato": 15
  },
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.0,
  "mask_feature_length": 10,
  "mask_feature_min_masks": 0,
  "mask_feature_prob": 0.0,
  "mask_time_length": 10,
  "mask_time_min_masks": 2,
  "mask_time_prob": 0.05,
  "model_type": "hubert",
  "num_attention_heads": 12,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 128,
  "num_feat_extract_layers": 7,
  "num_hidden_layers": 2,
  "output_hidden_states": true,
  "pad_token_id": 0,
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.37.2",
  "use_weighted_layer_sum": false,
  "vocab_size": 32
}