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whisper-vietnamese-3 – AI Model by hoangdeeptry | AlphaNeural AI
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whisper-vietnamese-3
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
duytran3112/whisper-sm-vivos
finetune
apache-2.0
endpoints_compatible
us
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whisper-vietnamese-3
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: 0.6164
Wer: 104.1257
Cer: 100.8264
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.0204
7.19
1000
0.4900
123.6149
105.0861
0.0022
14.39
2000
0.5671
111.9607
104.7015
0.0009
21.58
3000
0.6017
109.1316
101.5308
0.0006
28.78
4000
0.6164
104.1257
100.8264
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3
