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whisper-lao-finetuned_1 – AI Model by LuoYiSULIXAY | AlphaNeural AI
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whisper-lao-finetuned_1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-lao-finetuned_1
This model is a fine-tuned version of
openai/whisper-small
on the None 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: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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 3.6.0
Tokenizers 0.21.2
