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whisper-small-ar – AI Model by pranay-j | AlphaNeural AI
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whisper-small-ar
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
ar
mozilla-foundation/common_voice_11_0
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: 0.3855
Wer: 73.6587
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: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1151
2.12
2000
0.3855
73.6587
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.8.1.dev0
Tokenizers 0.12.1
