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wav2vec2-xlsr-53-russian-emotion-recognition

Audio Classification Transformers PyTorch
Russian wav2vec2 feature-extraction audio emotion emotion-recognition emotion-classification speech custom_code Eval Results
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wav2vec2-xlsr-53-russian-emotion-recognition
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{
  "trust_remote_code" : true,

  "_name_or_path": "Aniemore/wav2vec2-xlsr-53-russian-emotion-recognition",
  "activation_dropout": 0.05,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
  "add_adapter": false,
  "apply_spec_augment": true,
  "architectures": [
    "Wav2Vec2ForSpeechClassification"
  ],
  "auto_map": {
    "AutoConfig": "wav2vec2fsr_config.Wav2Vec2Config",
    "AutoModel": "wav2vec2speechclassification.Wav2Vec2ForSpeechClassification"
  },
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 768,
  "contrastive_logits_temperature": 0.1,
  "conv_bias": true,
  "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": "mean",
  "ctc_zero_infinity": true,
  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": true,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_dropout": 0.0,
  "feat_extract_norm": "layer",
  "feat_proj_dropout": 0.05,
  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.0,
  "finetuning_task": "wav2vec2_clf",
  "hidden_act": "gelu",
  "hidden_dropout": 0.05,
  "hidden_size": 1024,
  "id2label": {
    "0": "anger",
    "1": "disgust",
    "2": "enthusiasm",
    "3": "fear",
    "4": "happiness",
    "5": "neutral",
    "6": "sadness"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "anger": 0,
    "disgust": 1,
    "enthusiasm": 2,
    "fear": 3,
    "happiness": 4,
    "neutral": 5,
    "sadness": 6
  },
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.05,
  "mask_channel_length": 10,
  "mask_channel_min_space": 1,
  "mask_channel_other": 0.0,
  "mask_channel_prob": 0.0,
  "mask_channel_selection": "static",
  "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_min_space": 1,
  "mask_time_other": 0.0,
  "mask_time_prob": 0.05,
  "mask_time_selection": "static",
  "model_type": "wav2vec2",
  "num_adapter_layers": 3,
  "num_attention_heads": 16,
  "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": 24,
  "num_negatives": 100,
  "output_hidden_size": 1024,
  "pad_token_id": 0,
  "pooling_mode": "mean",
  "problem_type": "single_label_classification",
  "proj_codevector_dim": 768,
  "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": "4.20.0.dev0",
  "use_weighted_layer_sum": false,
  "vocab_size": 39,
  "xvector_output_dim": 512
}