updated README.md
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README.md
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model-index:
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- name: Wav2Vec2 Base Turkish by Cahya
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 6.1
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type: common_voice
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args: tr
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metrics:
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- name: Test WER
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type: wer
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value: 9.437
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- name: Test CER
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type: cer
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value: 3.325
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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- name: Test CER
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type: cer
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value: 2.802
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: tr
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metrics:
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- name: Test WER
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type: wer
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value: 8.335
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- name: Test CER
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type: cer
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value: 2.336
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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type: cer
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value: 10.66
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [cahya/wav2vec2-base-turkish-artificial-cv](https://huggingface.co/cahya/wav2vec2-base-turkish-artificial-cv) on the COMMON_VOICE - TR dataset.
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- Loss: 0.1337
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- Wer: 0.1353
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## Model description
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More information needed
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model-index:
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- name: Wav2Vec2 Base Turkish by Cahya
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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- name: Test CER
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type: cer
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value: 2.802
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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type: cer
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value: 10.66
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---
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#
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This model is a fine-tuned version of [cahya/wav2vec2-base-turkish-artificial-cv](https://huggingface.co/cahya/wav2vec2-base-turkish-artificial-cv) on the COMMON_VOICE - TR dataset.
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- Loss: 0.1337
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- Wer: 0.1353
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| | Dataset | WER | CER |
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|---|-------------------------------|---------|----------|
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| 1 | Common Voice 6.1 | 9.437 | 3.325 |
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| 2 | Common Voice 7.0 | 8.147 | 2.802 |
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| 3 | Common Voice 8.0 | 8.335 | 2.336 |
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| 4 | Speech Recognition Community | 28.011 | 10.66 |
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## Model description
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More information needed
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