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whisper-small-ar-tn – AI Model by fatmabasdouri | AlphaNeural AI
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whisper-small-ar-tn
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8930
Wer: 42.6455
Cer: 22.0795
Mer: 40.2383
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
Mer
0.0068
10.0
1650
0.8930
42.6455
22.0795
40.2383
Framework versions
Transformers 5.9.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
