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Update README.md

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  ---
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  language: lg
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  datasets:
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- - common_voice (train+validation+other[upvotes > downvotes])
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  metrics:
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  - wer
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  tags:
@@ -121,6 +121,6 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
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  ## Training
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- The Common Voice `train`, `validation` and `other` datasets were used for training, with the additional filter applied to remove `other` data that did not have more up votes than down votes.
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  The script used for training was just the `run_finetuning.py` script provided in OVHcloud's databuzzword/hf-wav2vec image.
 
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  ---
2
  language: lg
3
  datasets:
4
+ - common_voice
5
  metrics:
6
  - wer
7
  tags:
 
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  ## Training
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+ The Common Voice `train`, `validation` and `other` datasets were used for training, with the additional filter applied to remove `other` data that did not have more up votes than down votes (train+validation+other[upvotes > downvotes]).
125
 
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  The script used for training was just the `run_finetuning.py` script provided in OVHcloud's databuzzword/hf-wav2vec image.