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dima806
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music_genres_classification

Audio Classification
Transformers
PyTorch
Safetensors
wav2vec2
Inference Endpoints
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  1. checkpoint-4800/config.json +133 -0
  2. checkpoint-4800/optimizer.pt +3 -0
  3. checkpoint-4800/preprocessor_config.json +9 -0
  4. checkpoint-4800/pytorch_model.bin +3 -0
  5. checkpoint-4800/rng_state.pth +3 -0
  6. checkpoint-4800/scheduler.pt +3 -0
  7. checkpoint-4800/trainer_state.json +0 -0
  8. checkpoint-4800/training_args.bin +3 -0
  9. pytorch_model.bin +1 -1
  10. training_args.bin +1 -1
checkpoint-4800/config.json ADDED
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+ "activation_dropout": 0.1,
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+ "adapter_kernel_size": 3,
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+ "adapter_stride": 2,
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+ "add_adapter": false,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "Wav2Vec2ForSequenceClassification"
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+ "attention_dropout": 0.1,
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+ "classifier_proj_size": 256,
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+ "ctc_loss_reduction": "sum",
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+ "diversity_loss_weight": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout": 0.1,
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "disco",
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+ "1": "metal",
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+ "2": "reggae",
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+ "3": "blues",
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+ "4": "rock",
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+ "5": "classical",
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+ "6": "jazz",
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+ "7": "hiphop",
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+ "8": "country",
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+ "9": "pop"
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+ },
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-05,
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+ "model_type": "wav2vec2",
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+ "num_adapter_layers": 3,
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 32,
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+ "xvector_output_dim": 512
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