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whisper-small-fa – AI Model by benchmarkcentral | AlphaNeural AI
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whisper-small-fa
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
fa
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small fa - Mahdi Aspanani
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3673
Wer: 37.0099
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2929
0.4055
1000
0.4922
48.5195
0.2242
0.8110
2000
0.4087
41.2283
0.1258
1.2165
3000
0.3834
38.2551
0.1075
1.6221
4000
0.3673
37.0099
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Tokenizers 0.19.1
