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wav2vec2-large-xlsr-ar – AI Model by Mohamed2210 | AlphaNeural AI

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Mohamed2210/
wav2vec2-large-xlsr-ar

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0

automatic-speech-recognition

generated_from_trainer

common_voice_11_0

jonatasgrosman/wav2vec2-large-xlsr-53-arabic

endpoints_compatible

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wav2vec2-large-xlsr-ar

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-arabic on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.8298
eval_wer: 0.6859
eval_runtime: 192.8428
eval_samples_per_second: 15.515
eval_steps_per_second: 1.939
epoch: 5.1217
step: 4000

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0