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whisper-small-vi – AI Model by tranviethuy01 | AlphaNeural AI

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tranviethuy01/
whisper-small-vi

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automatic-speech-recognition

generated_from_trainer

doof-ferb/vlsp2020_vinai_100h

openai/whisper-small

endpoints_compatible

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Whisper Small VN by Tran Viet Huy - 1.0

This model is a fine-tuned version of openai/whisper-small on the VLSP 2020 - VinAI dataset.

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: 8
eval_batch_size: 4
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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.53.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0.dev0
Tokenizers 0.21.1