wav2vec2-large-xlsr-moroccan-darija-v3

This model is a fine-tuned version of hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0553
  • Wer: 0.1312

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.103 0.5359 500 0.0638 0.1421
0.1234 1.0718 1000 0.0630 0.1394
0.0967 1.6077 1500 0.0553 0.1312

Framework versions

  • Transformers 4.43.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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