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thegenerativegeneration
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emotion2vec_base_finetuned

Audio Classification
audio
speech
speech-emotion-recognition
Model card Files Community
emotion2vec_base_finetuned
File size: 3,132 Bytes 
13ece43
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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# network architecture
model: Emotion2vec
model_conf:
    loss_beta: 0.0 
    loss_scale: null
    depth: 8
    start_drop_path_rate: 0.0
    end_drop_path_rate: 0.0
    num_heads: 12
    norm_eps: 1e-05
    norm_affine: true
    encoder_dropout: 0.1
    post_mlp_drop: 0.1
    attention_dropout: 0.1
    activation_dropout: 0.0
    dropout_input: 0.0
    layerdrop: 0.05
    embed_dim: 768
    mlp_ratio: 4.0
    layer_norm_first: false
    average_top_k_layers: 8
    end_of_block_targets: false
    clone_batch: 8
    layer_norm_target_layer: false
    batch_norm_target_layer: false
    instance_norm_target_layer: true
    instance_norm_targets: false
    layer_norm_targets: false
    ema_decay: 0.999
    ema_same_dtype: true
    log_norms: true
    ema_end_decay: 0.99999
    ema_anneal_end_step: 20000
    ema_encoder_only: false
    max_update: 100000
    extractor_mode: layer_norm
    shared_decoder: null
    min_target_var: 0.1
    min_pred_var: 0.01
    supported_modality: AUDIO
    mae_init: false
    seed: 1
    skip_ema: false
    cls_loss: 1.0
    recon_loss: 0.0
    d2v_loss: 1.0
    decoder_group: false
    adversarial_training: false
    adversarial_hidden_dim: 128
    adversarial_weight: 0.1
    cls_type: chunk
    normalize: true
    project_dim:

    modalities:
        audio:
            type: AUDIO
            prenet_depth: 4
            prenet_layerdrop: 0.05
            prenet_dropout: 0.1
            start_drop_path_rate: 0.0
            end_drop_path_rate: 0.0
            num_extra_tokens: 10
            init_extra_token_zero: true
            mask_noise_std: 0.01
            mask_prob_min: null
            mask_prob: 0.5
            inverse_mask: false
            mask_prob_adjust: 0.05
            keep_masked_pct: 0.0
            mask_length: 5
            add_masks: false
            remove_masks: false
            mask_dropout: 0.0
            encoder_zero_mask: true
            mask_channel_prob: 0.0
            mask_channel_length: 64
            ema_local_encoder: false
            local_grad_mult: 1.0
            use_alibi_encoder: true
            alibi_scale: 1.0
            learned_alibi: false
            alibi_max_pos: null
            learned_alibi_scale: true
            learned_alibi_scale_per_head: true
            learned_alibi_scale_per_layer: false
            num_alibi_heads: 12
            model_depth: 8
            decoder:
                decoder_dim: 384
                decoder_groups: 16
                decoder_kernel: 7
                decoder_layers: 4
                input_dropout: 0.1
                add_positions_masked: false
                add_positions_all: false
                decoder_residual: true
                projection_layers: 1
                projection_ratio: 2.0
            extractor_mode: layer_norm
            feature_encoder_spec: '[(512, 10, 5)] + [(512, 3, 2)] * 4 + [(512,2,2)] + [(512,2,2)]'
            conv_pos_width: 95
            conv_pos_groups: 16
            conv_pos_depth: 5
            conv_pos_pre_ln: false

tokenizer: CharTokenizer
tokenizer_conf:
  unk_symbol: <unk>
  split_with_space: true