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Fine-tuned Wav2Vec2_250h on ViMD All region with layer freezing

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  1. README.md +6 -1
README.md CHANGED
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  ---
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  library_name: transformers
 
 
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  license: cc-by-nc-4.0
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  base_model: nguyenvulebinh/wav2vec2-base-vietnamese-250h
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  tags:
 
 
 
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  - generated_from_trainer
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  metrics:
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  - wer
@@ -16,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-vi
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- This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4186
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  - Wer: 0.1399
 
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  ---
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  library_name: transformers
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+ language:
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+ - vi
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  license: cc-by-nc-4.0
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  base_model: nguyenvulebinh/wav2vec2-base-vietnamese-250h
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  tags:
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+ - speech-recognition
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+ - vietnamese
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+ - vietnam
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  - generated_from_trainer
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  metrics:
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  - wer
 
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  # wav2vec2-base-vi
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+ This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the nguyendv02/ViMD_Dataset dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4186
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  - Wer: 0.1399