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wav2vec2-base-arabic-reused-en-token-ids – AI Model by Mohammadawad1 | AlphaNeural AI
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Mohammadawad1
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wav2vec2-base-arabic-reused-en-token-ids
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-base-arabic-reused-en-token-ids
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9189
Wer: 0.7576
Cer: 0.2491
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
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
3.0238
1.0
884
3.0369
1.0
1.0
2.8588
2.0
1768
2.8932
0.9988
0.9221
1.4289
3.0
2652
1.3726
0.9213
0.3498
0.9835
4.0
3536
0.9189
0.7576
0.2491
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.18.0
Tokenizers 0.21.2
