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whisper-small-arbyeg – AI Model by mohamedsaeed823 | AlphaNeural AI
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whisper-small-arbyeg
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ara
google/fleurs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Ar_Eg
This model is a fine-tuned version of
openai/whisper-small
on the Fleurs ar_eg dataset. It achieves the following results on the evaluation set:
Loss: 0.4820
Wer: 23.1
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.058
6.6667
1000
0.3934
23.6625
0.0014
13.3333
2000
0.4452
22.9875
0.0005
20.0
3000
0.4719
22.9375
0.0004
26.6667
4000
0.4820
23.1
Framework versions
Transformers 4.40.2
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
