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updated RREADME
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README.md
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@@ -52,6 +52,14 @@ It achieves the following results on the evaluation set:
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- Loss: 0.2807
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- Wer: 17.7099
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## Model description
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More information needed
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- Loss: 0.2807
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- Wer: 17.7099
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**IMPORTANT** The model has been trained using *data augmentation* to improve its generalization capabilities and robustness.
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The results on the eval set during training are biased towards data augmentation applied to evaluation data.
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**Results on eval set**
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- Mozilla CV 11.0 - Greek: 13.250 WER (using official script)
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- Google Fluers - Greek: 39.59 WER (using official script)
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## Model description
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More information needed
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