itskavya/wav2vec2-arabic-colab-f
07
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wav2vec2-arabic-colab-f
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.8010
- Wer: 32.0897
- Cer: 9.9979
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
- trainbatchsize: 2
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 300
- training_steps: 3000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
