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Upload HubertForSequenceClassification

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  1. config.json +106 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "Aniemore/hubert-emotion-russian-resd",
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+ "activation_dropout": 0.05,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "HubertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.05,
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+ "bos_token_id": 1,
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+ "classifier_proj_size": 768,
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+ "conv_bias": true,
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+ "conv_dim": [
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+ 512,
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+ 512,
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+ 512,
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+ 512,
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+ 512,
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+ 512,
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+ 512
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+ ],
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+ "conv_kernel": [
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+ 10,
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+ 3,
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+ 3,
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+ 3,
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+ 2,
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+ 2
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+ ],
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+ "conv_stride": [
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+ 5,
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+ 2,
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+ 2,
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+ 2,
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+ 2,
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+ 2,
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+ 2
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+ ],
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+ "ctc_loss_reduction": "sum",
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+ "ctc_zero_infinity": false,
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+ "do_stable_layer_norm": true,
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+ "eos_token_id": 2,
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+ "feat_extract_activation": "gelu",
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+ "feat_extract_dropout": 0.0,
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+ "feat_extract_norm": "layer",
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+ "feat_proj_dropout": 0.05,
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+ "feat_proj_layer_norm": true,
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+ "final_dropout": 0.05,
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+ "finetuning_task": [
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+ "hubert_classification"
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+ ],
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout": 0.05,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "anger",
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+ "1": "disgust",
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+ "2": "enthusiasm",
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+ "3": "fear",
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+ "4": "happiness",
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+ "5": "neutral",
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+ "6": "sadness"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ "anger": 0,
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+ "disgust": 1,
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+ "enthusiasm": 2,
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+ "fear": 3,
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+ "happiness": 4,
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+ "neutral": 5,
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+ "sadness": 6
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.05,
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+ "mask_channel_length": 10,
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+ "mask_channel_min_space": 1,
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+ "mask_channel_other": 0.0,
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+ "mask_channel_prob": 0.0,
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+ "mask_channel_selection": "static",
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+ "mask_feature_length": 10,
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+ "mask_feature_min_masks": 0,
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+ "mask_feature_prob": 0.0,
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+ "mask_time_length": 10,
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+ "mask_time_min_masks": 2,
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+ "mask_time_min_space": 1,
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+ "mask_time_other": 0.0,
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+ "mask_time_prob": 0.05,
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+ "mask_time_selection": "static",
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+ "model_type": "hubert",
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+ "num_attention_heads": 16,
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+ "num_conv_pos_embedding_groups": 16,
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+ "num_conv_pos_embeddings": 128,
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+ "num_feat_extract_layers": 7,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "pooling_mode": "mean",
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+ "problem_type": "single_label_classification",
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+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 40
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+ }
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