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whisper-small-vi – AI Model by vtking | AlphaNeural AI
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whisper-small-vi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
vi
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Vi - Viet
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7710
Wer: 31.5612
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 260
training_steps: 1260
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0472
5.0
315
0.6506
31.8977
0.0016
10.0
630
0.7401
31.2248
0.0007
15.0
945
0.7637
31.3594
0.0006
20.0
1260
0.7710
31.5612
Framework versions
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
