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whisper-tiny-arabic-finetuned-v1 – AI Model by Mohammadawad1 | AlphaNeural AI
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whisper-tiny-arabic-finetuned-v1
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pytorch
whisper
generated_from_trainer
common_voice_17_0
apache-2.0
model-index
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whisper-tiny-arabic-finetuned-v1
This model is a fine-tuned version of
openai/whisper-tiny
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4792
Wer: 45.2567
Cer: 16.0322
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.5021
1.0
883
0.5576
53.2786
18.9232
0.3667
2.0
1767
0.5044
49.4192
17.9494
0.2985
3.0
2650
0.4783
47.1619
17.1923
0.2252
4.0
3532
0.4792
45.2567
16.0322
Framework versions
Transformers 4.28.0
Pytorch 2.6.0+cu124
Datasets 2.18.0
Tokenizers 0.13.3
