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whisper-small-kh – AI Model by dynann | AlphaNeural AI

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dynann/
whisper-small-kh

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0

automatic-speech-recognition

generated_from_trainer

openslr/openslr

openai/whisper-tiny

endpoints_compatible

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Whisper Tiny khm - Dynann

This model is a fine-tuned version of openai/whisper-tiny on the Khmer Male V2 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3435
eval_wer: 70.9467
eval_runtime: 110.956
eval_samples_per_second: 2.623
eval_steps_per_second: 0.333
epoch: 12.2324
step: 4000

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: 5e-06
train_batch_size: 8
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: 80
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.19.1