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whisper-Large-ar5 – AI Model by MohammedNasri | AlphaNeural AI
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whisper-Large-ar5
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pytorch
tensorboard
hf-asr-leaderboard
generated_from_trainer
ar
mozilla-foundation/common_voice_11_0
apache-2.0
us
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Whisper larg Ar5 - Mohammed Nasri
This model is a fine-tuned version of
openai/whisper-large
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2397
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: 0.001
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1844
1.0
19241
0.2397
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
