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whisper-small-ar-letters – AI Model by WajeehAzeemX | AlphaNeural AI
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whisper-small-ar-letters
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
custom
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Ar Dict - Azeemx
This model is a fine-tuned version of
openai/whisper-small
on the custom dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1676
eval_wer: 24.3635
eval_runtime: 322.1148
eval_samples_per_second: 1.201
eval_steps_per_second: 0.152
epoch: 4.7319
step: 3000
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: 5000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0
