End of training
Browse files
README.md
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---
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base_model: ylacombe/w2v-bert-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_16_0
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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:
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type: common_voice_16_0
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config: tr
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split: test
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args: tr
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metrics:
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- name: Wer
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type: wer
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# wav2vec2-common_voice-tr-demo
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This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Wer: 1.0
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---
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language:
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- tr
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base_model: ylacombe/w2v-bert-2.0
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_16_0
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- generated_from_trainer
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datasets:
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- common_voice_16_0
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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: MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - TR
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type: common_voice_16_0
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config: tr
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split: test
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args: 'Config: tr, Training split: train+validation, Eval split: test'
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metrics:
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- name: Wer
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type: wer
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# wav2vec2-common_voice-tr-demo
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+
This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - TR dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Wer: 1.0
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all_results.json
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