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wav2vec2-large-xlsr-53-english-finetuned-ravdess

Audio Classification
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wav2vec2-large-xlsr-53-english-finetuned-ravdess

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the RAVDESS dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5624
  • Accuracy: 0.8299
  • Precision: 0.8453
  • Recall: 0.8299
  • F1: 0.8330

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
1.9765 1.0 288 1.9102 0.3090 0.3203 0.3090 0.1941
1.4803 2.0 576 1.4590 0.5660 0.5493 0.5660 0.4811
1.1625 3.0 864 1.2308 0.6215 0.6299 0.6215 0.5936
0.8354 4.0 1152 0.7821 0.7222 0.7555 0.7222 0.6869
0.2066 5.0 1440 0.7910 0.7708 0.8373 0.7708 0.7881
0.6335 6.0 1728 0.5624 0.8299 0.8453 0.8299 0.8330

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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jonatasgrosman/wav2vec2-large-xlsr-53-english
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Dataset used to train firdho26/wav2vec2-large-xlsr-53-english-finetuned-ravdess

Evaluation results

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