End of training
Browse files- README.md +6 -4
- all_results.json +11 -11
- eval_results.json +7 -7
- runs/Jan16_14-53-45_vorace/events.out.tfevents.1705423620.vorace.510473.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +1201 -213
README.md
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license: mit
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base_model: facebook/w2v-bert-2.0
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tags:
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- generated_from_trainer
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metrics:
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- wer
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@@ -15,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-bert-CV16-en-libri
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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- Cer: 0.
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## Model description
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license: mit
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base_model: facebook/w2v-bert-2.0
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tags:
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- automatic-speech-recognition
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- librispeech_asr
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- generated_from_trainer
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metrics:
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- wer
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# wav2vec2-bert-CV16-en-libri
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the LIBRISPEECH_ASR - CLEAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1035
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- Wer: 0.0708
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- Cer: 0.0194
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## Model description
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all_results.json
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runs/Jan16_14-53-45_vorace/events.out.tfevents.1705423620.vorace.510473.1
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