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whisper-small-vi – AI Model by stevehoang9 | AlphaNeural AI
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whisper-small-vi
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tensorboard
safetensors
generated_from_trainer
vi
JRHuy/vivos-fleurs
apache-2.0
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Whisper Small Vietnamese - Steve Hoang
This model is a fine-tuned version of
openai/whisper-small
on the Vietnamese ASR dataset. It achieves the following results on the evaluation set:
Loss: 1.3438
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: 1.25e-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: 50
training_steps: 300
Training results
Training Loss
Epoch
Step
Validation Loss
2.4238
0.11
100
2.2401
1.8787
0.21
200
1.7789
1.3912
0.32
300
1.3438
Framework versions
Transformers 4.30.0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.13.3
