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whisper-base-ar-common-fleurs – AI Model by MohammedNasri | AlphaNeural AI
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MohammedNasri
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whisper-base-ar-common-fleurs
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-base-ar-common-fleurs
This model is a fine-tuned version of
MohammedNasri/whisper-base-ar-common-fleurs
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3732
Wer: 57.3788
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.4132
0.39
1000
0.4356
77.2091
0.3597
0.78
2000
0.3880
56.3555
0.2713
1.17
3000
0.3732
57.3788
Framework versions
Transformers 4.26.0
Pytorch 1.12.0
Datasets 2.1.0
Tokenizers 0.12.1
