End of training
Browse files- README.md +5 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +581 -121
README.md
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library_name: transformers
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base_model: microsoft/wavlm-base
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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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@@ -15,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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# wavlm-salt-eng
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This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on
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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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## Model description
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library_name: transformers
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base_model: microsoft/wavlm-base
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tags:
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+
- automatic-speech-recognition
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- Sunbird/salt
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- generated_from_trainer
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metrics:
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- wer
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# wavlm-salt-eng
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This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on the SUNBIRD/SALT - MULTISPEAKER-ENG dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2244
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- Wer: 0.2118
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## Model description
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all_results.json
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eval_results.json
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train_results.json
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trainer_state.json
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