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whisper-tiny-ar – AI Model by saralameri | AlphaNeural AI
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whisper-tiny-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
mozilla-foundation/common_voice_16_1
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Ar
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
Loss: 0.6268
Wer: 67.5967
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: 8
seed: 42
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: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6119
0.4122
1000
0.7504
75.0551
0.5207
0.8244
2000
0.6737
70.3849
0.4322
1.2366
3000
0.6406
67.6224
0.4113
1.6488
4000
0.6268
67.5967
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
