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my_awesome_speach_model

Audio Classification
Transformers
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wav2vec2
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my_awesome_speach_model
File size: 2,783 Bytes 
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{
  "_name_or_path": "facebook/wav2vec2-base",
  "activation_dropout": 0.0,
  "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": [
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  "ctc_loss_reduction": "sum",
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  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": false,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
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  "feat_proj_dropout": 0.1,
  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.0,
  "freeze_feat_extract_train": true,
  "hidden_act": "gelu",
  "hidden_dropout": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "positive_mild",
    "1": "positive_moderate",
    "2": "positive_asymp",
    "3": "resp_illness_not_identified",
    "4": "healthy",
    "5": "no_resp_illness_exposed"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "healthy": "4",
    "no_resp_illness_exposed": "5",
    "positive_asymp": "2",
    "positive_mild": "0",
    "positive_moderate": "1",
    "resp_illness_not_identified": "3"
  },
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.0,
  "mask_channel_length": 10,
  "mask_channel_min_space": 1,
  "mask_channel_other": 0.0,
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  "mask_time_prob": 0.05,
  "mask_time_selection": "static",
  "model_type": "wav2vec2",
  "no_mask_channel_overlap": false,
  "no_mask_time_overlap": false,
  "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": 12,
  "num_negatives": 100,
  "output_hidden_size": 768,
  "pad_token_id": 0,
  "proj_codevector_dim": 256,
  "tdnn_dilation": [
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    512,
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  "tdnn_kernel": [
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  "torch_dtype": "float32",
  "transformers_version": "4.46.2",
  "use_weighted_layer_sum": false,
  "vocab_size": 32,
  "xvector_output_dim": 512
}