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whisper-tiny-ar-tashkeel – AI Model by WajeehAzeemX | AlphaNeural AI
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whisper-tiny-ar-tashkeel
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
whitefox123/tashkeel
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Ar - AzeemX
This model is a fine-tuned version of
openai/whisper-tiny
on the Tashkeel dataset. It achieves the following results on the evaluation set:
Loss: 0.2374
Wer: 40.0
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2521
1.6
1000
0.3009
53.0811
0.146
3.2
2000
0.2476
42.5946
0.1238
4.8
3000
0.2334
40.1081
0.0916
6.4
4000
0.2372
39.5315
0.0866
8.0
5000
0.2374
40.0
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
