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base_whisper_ar_1000_tashkeel_dec_test – AI Model by WajeehAzeemX | AlphaNeural AI
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base_whisper_ar_1000_tashkeel_dec_test
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
YazanSalameh/Whisper-base-Arabic
finetune
apache-2.0
endpoints_compatible
us
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Whisper Base Ar 1000 Finetuned DecTest - AzeemX
This model is a fine-tuned version of
YazanSalameh/Whisper-base-Arabic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1876
Wer: 101.1911
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1956
1.0323
1000
0.1876
101.1911
Framework versions
Transformers 4.45.2
Pytorch 2.3.1
Datasets 3.0.1
Tokenizers 0.20.0
