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hossam-whisper-tiny-ar – AI Model by Hossamegy | AlphaNeural AI
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hossam-whisper-tiny-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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hossam-whisper-tiny-ar
This model is a fine-tuned version of
openai/whisper-tiny
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6615
eval_wer: 68.6291
eval_runtime: 2620.9578
eval_samples_per_second: 3.983
eval_steps_per_second: 0.498
epoch: 0.8313
step: 2000
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: 5000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
