wav2vec2_turkish_gender_classification

This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7567
  • Accuracy: 0.8479

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.1723 0.9968 233 0.5006 0.8003
0.0967 1.9979 467 0.3800 0.8722
0.0696 2.9989 701 0.5256 0.8449
0.0451 4.0 935 0.5080 0.8879
0.0647 4.9968 1168 0.5977 0.8551
0.0322 5.9979 1402 0.7294 0.8463
0.0249 6.9989 1636 1.0826 0.7830
0.0189 8.0 1870 0.6995 0.8485
0.0276 8.9968 2103 0.8064 0.8360
0.0167 9.9679 2330 0.7567 0.8479

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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Evaluation results