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Model: Vira21/Whisper-Base-KhmerV2
Source: Original Platform

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README.md

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+---
+license: mit
+datasets:
+- openslr/openslr
+- seanghay/km-speech-corpus
+- ylacombe/english_dialects
+- google/fleurs
+language:
+- km
+- en
+metrics:
+- wer
+base_model:
+- openai/whisper-base
+new_version: Vira21/Whisper-Base-KhmerV2
+pipeline_tag: automatic-speech-recognition
+library_name: transformers
+---
+
+# Whisper-Base-KhmerV2
+
+
+This model is a fine-tuned variant of [openai/whisper-base](https://huggingface.co/openai/whisper-base), specifically adapted to enhance performance on diverse datasets. Designed to deliver improved transcription accuracy across multiple languages, including Khmer, it is fine-tuned with a focus on understanding the nuances of non-English languages and dialects.
+
+Explore its capabilities in real-time transcription and multilingual support in the demo space: [Whisper-Base-KhmerV2 Demo](https://huggingface.co/spaces/Vira21/Whisper-Base-KhmerV2). 
+
+- **Metrics**:
+  - **WER (Word Error Rate)**: 0.4529
+  - **Training Loss**: 0.1012

config.json

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+  "vocab_size": 51865
+}

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