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whisper-small-kh – AI Model by S-Sethisak | AlphaNeural AI
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S-Sethisak
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whisper-small-kh
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
kh
S-Sethisak/KhmerAsrDataset
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small kh - Sethisak San
This model is a fine-tuned version of
openai/whisper-small
on the KhmerAsrDataset dataset. It achieves the following results on the evaluation set:
Loss: 0.1773
Wer: 96.2162
Cer: 26.6836
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: 16
eval_batch_size: 8
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.0916
3.2154
1000
0.1611
97.4775
30.2389
0.0112
6.4309
2000
0.1518
96.3964
27.3481
0.0015
9.6463
3000
0.1706
97.2973
26.4233
0.0003
12.8617
4000
0.1773
96.2162
26.6836
Framework versions
Transformers 4.48.0
Pytorch 2.8.0+cu126
Datasets 2.14.7
Tokenizers 0.21.4
