HarrisDePerceptron
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update model card README.md
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README.md
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---
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license: apache-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
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#
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Wer: 0.
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## Model description
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---
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language:
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- ur
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_8_0
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- generated_from_trainer
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datasets:
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- common_voice
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#
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8935
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- Wer: 0.9875
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## Model description
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nohup.out
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Configuration saved in ./config.json
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Model weights saved in ./pytorch_model.bin
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Configuration saved in ./preprocessor_config.json
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Configuration saved in ./config.json
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Model weights saved in ./pytorch_model.bin
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Configuration saved in ./preprocessor_config.json
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To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
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ab3e230..248315d main -> main
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***** eval metrics *****
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epoch = 49.98
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eval_loss = 2.8935
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eval_runtime = 0:00:13.07
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eval_samples = 341
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eval_samples_per_second = 26.076
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eval_steps_per_second = 3.288
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eval_wer = 0.9875
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02/02/2022 18:42:23 - WARNING - huggingface_hub.repository - To https://huggingface.co/HarrisDePerceptron/xls-r-300m-ur
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ab3e230..248315d main -> main
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Dropping the following result as it does not have all the necessary fields:
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{'dataset': {'name': 'MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR', 'type': 'common_voice', 'args': 'Config: ur, Training split: train+validation, Eval split: test'}}
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