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whisper-small-vi-der-2 – AI Model by arun100 | AlphaNeural AI
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arun100
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whisper-small-vi-der-2
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
duytran3112/whisper-sm-vivos
finetune
apache-2.0
endpoints_compatible
us
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whisper-vietnamese-2
This model is a fine-tuned version of
duytran3112/whisper-sm-vivos
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4398
Wer: 15.4165
Cer: 8.2906
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.1394
2.87
1000
0.3392
15.8696
8.6357
0.0182
5.73
2000
0.3863
15.6521
8.2710
0.008
8.6
3000
0.4126
15.2042
8.2426
0.0052
11.46
4000
0.4398
15.4165
8.2906
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3
