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whisper-small-khm-asr-cultural-v2 – AI Model by dynann | AlphaNeural AI
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dynann
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whisper-small-khm-asr-cultural-v2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
km
DDD-Cambodia/khm-asr-cultural
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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dynann/whisper-small-kh-final
This model is a fine-tuned version of
openai/whisper-small
on the KHM ASR Cultural dataset. It achieves the following results on the evaluation set:
Loss: 0.3025
Wer: 102.0349
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: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3845
7.6923
500
0.4710
103.3430
0.2341
15.3846
1000
0.3025
102.0349
Framework versions
Transformers 5.7.0
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
