Whisper-Small-Khmer-v3

This is a continued fine-tune of Vira21/Whisper-Small-Khmer (itself a Khmer fine-tune of openai/whisper-small), trained further on additional Khmer speech data.

This checkpoint corresponds to checkpoint-1600 from further training in phonsobon/Whisper-Small-Khmer-v2.

Training data

Training setup

  • Base checkpoint: Vira21/Whisper-Small-Khmer (WER 0.3763 on its original eval set)
  • Hardware: Kaggle free-tier GPU (T4 x2)
  • Checkpoint: step 1600

Usage

from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="phonsobon/Whisper-Small-Khmer-v3")
result = pipe("path/to/audio.wav")
print(result["text"])

Intended use

Khmer-language automatic speech recognition. Built as part of Khmer NLP tooling work for the Chaktomuk Managements (CTM) system.

Limitations

  • Evaluated only on the training data mix above; WER on held-out/unseen domains may differ.
  • Inherits any biases/limitations of the base Whisper-small architecture and the Vira21 checkpoint.
Downloads last month
15
Safetensors
Model size
0.2B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for phonsobon/Whisper-Small-Khmer-v3

Finetuned
(2)
this model

Datasets used to train phonsobon/Whisper-Small-Khmer-v3