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model-classifier-vctk-edacc

Audio Classification
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  1. README.md +58 -0
  2. config.json +134 -0
  3. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: facebook/mms-lid-4017
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: model-classifier-vctk-edacc
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # model-classifier-vctk-edacc
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+
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+ This model is a fine-tuned version of [facebook/mms-lid-4017](https://huggingface.co/facebook/mms-lid-4017) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.9928
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+ - eval_accuracy: 0.6491
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+ - eval_runtime: 2565.174
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+ - eval_samples_per_second: 3.224
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+ - eval_steps_per_second: 0.403
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+ - epoch: 0.5
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+ - step: 200
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 400
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "facebook/mms-lid-4017",
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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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+ "Wav2Vec2ForSequenceClassification"
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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": 1024,
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+ "codevector_dim": 1024,
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+ "contrastive_logits_temperature": 0.1,
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+ "conv_bias": true,
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+ "conv_dim": [
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+ "ctc_loss_reduction": "mean",
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+ "diversity_loss_weight": 0.1,
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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_proj_dropout": 0.05,
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+ "feat_quantizer_dropout": 0.0,
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+ "final_dropout": 0.05,
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+ "hidden_dropout": 0.05,
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.05,
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+ "model_type": "wav2vec2",
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+ "num_adapter_layers": 3,
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