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whisper-lao-finetuned_laonlp – AI Model by LuoYiSULIXAY | AlphaNeural AI

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LuoYiSULIXAY/
whisper-lao-finetuned_laonlp

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automatic-speech-recognition

generated_from_trainer

SiangLao/lao-asr-thesis-dataset

openai/whisper-medium

endpoints_compatible

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Whisper medium lo - sulixay Laligen

This model is a fine-tuned version of openai/whisper-medium on the SiangLao 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2