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whisper-small-ar-letters-3000-epochs – AI Model by WajeehAzeemX | AlphaNeural AI
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whisper-small-ar-letters-3000-epochs
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-ar-letters-3000-epochs
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1578
Wer: 23.9745
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 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: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1198
1.5773
1000
0.1557
26.0255
0.0469
3.1546
2000
0.1515
25.1061
0.0218
4.7319
3000
0.1578
23.9745
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0
