wav2vec2-base-arabic-without-reused-en-token-ids-v1 (ONNX)

This is an ONNX version of Mohammadawad1/wav2vec2-base-arabic-without-reused-en-token-ids-v1. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for automatic-speech-recognition: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.AutomaticSpeechRecognitionPipeline

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wav2vec2-base-arabic-without-reused-en-token-ids-v1

This model is a fine-tuned version of Mohammadawad1/wav2vec2-base-arabic-without-reused-en-token-ids on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6458
• Wer: 0.5747
• Cer: 0.1746

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 2.18.0
• Tokenizers 0.21.2