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whisper-small-ar – AI Model by Red-One | AlphaNeural AI
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Red-One
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whisper-small-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-ar
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3401
Wer: 44.7783
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
0.3063
0.4156
1000
0.4144
49.7659
0.2897
0.8313
2000
0.3603
46.7928
0.1908
1.2469
3000
0.3519
46.4439
0.1699
1.6625
4000
0.3401
44.7783
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
