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fmagot01
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distil-wav2vec2-finetuned-giga-speech

Audio Classification
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
distil-wav2vec2-finetuned-giga-speech
File size: 3,748 Bytes 
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{
  "_name_or_path": "OthmaneJ/distil-wav2vec2",
  "activation_dropout": 0.1,
  "adapter_attn_dim": null,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
  "add_adapter": false,
  "apply_spec_augment": true,
  "architectures": [
    "Wav2Vec2ForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 256,
  "contrastive_logits_temperature": 0.1,
  "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,
  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": false,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_dropout": 0.0,
  "feat_extract_norm": "group",
  "feat_proj_dropout": 0.1,
  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout": 0.1,
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "People  and  Blogs",
    "1": "Business",
    "10": "N/A",
    "11": "Comedy",
    "12": "News  and  Politics",
    "13": "Sports",
    "14": "Arts",
    "15": "Science  and  Technology",
    "16": "Autos  and  Vehicles",
    "17": "Science and Technology",
    "18": "People and Blogs",
    "19": "Music",
    "2": "Nonprofits  and  Activism",
    "20": "Society and Culture",
    "21": "Education",
    "22": "Howto  and  Style",
    "23": "Film  and  Animation",
    "24": "Gaming",
    "25": "Entertainment",
    "26": "Travel  and  Events",
    "27": "Health and Fitness",
    "28": "audiobook",
    "3": "Crime",
    "4": "History",
    "5": "Pets  and  Animals",
    "6": "News and Politics",
    "7": "Travel and Events",
    "8": "Kids and Family",
    "9": "Leisure"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Arts": "14",
    "Autos  and  Vehicles": "16",
    "Business": "1",
    "Comedy": "11",
    "Crime": "3",
    "Education": "21",
    "Entertainment": "25",
    "Film  and  Animation": "23",
    "Gaming": "24",
    "Health and Fitness": "27",
    "History": "4",
    "Howto  and  Style": "22",
    "Kids and Family": "8",
    "Leisure": "9",
    "Music": "19",
    "N/A": "10",
    "News  and  Politics": "12",
    "News and Politics": "6",
    "Nonprofits  and  Activism": "2",
    "People  and  Blogs": "0",
    "People and Blogs": "18",
    "Pets  and  Animals": "5",
    "Science  and  Technology": "15",
    "Science and Technology": "17",
    "Society and Culture": "20",
    "Sports": "13",
    "Travel  and  Events": "26",
    "Travel and Events": "7",
    "audiobook": "28"
  },
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.1,
  "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": "wav2vec2",
  "num_adapter_layers": 3,
  "num_attention_heads": 12,
  "num_codevector_groups": 2,
  "num_codevectors_per_group": 320,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 128,
  "num_feat_extract_layers": 7,
  "num_hidden_layers": 6,
  "num_negatives": 100,
  "output_hidden_size": 768,
  "pad_token_id": 0,
  "proj_codevector_dim": 256,
  "tdnn_dilation": [
    1,
    2,
    3,
    1,
    1
  ],
  "tdnn_dim": [
    512,
    512,
    512,
    512,
    1500
  ],
  "tdnn_kernel": [
    5,
    3,
    3,
    1,
    1
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.33.2",
  "use_weighted_layer_sum": false,
  "vocab_size": 32,
  "xvector_output_dim": 512
}