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whisper-small-Persian – AI Model by Alirezav99 | AlphaNeural AI
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whisper-small-Persian
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-small-Persian
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3177
Wer: 0.4134
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-06
train_batch_size: 4
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 64
training_steps: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0
0
0.3174
0.4112
0.055
0.0414
10
0.3174
0.4116
0.0317
0.0828
20
0.3177
0.4134
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.3.0
Tokenizers 0.22.1
