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End of training

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README.md CHANGED
@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Samuael/geez_t5-15k](https://huggingface.co/Samuael/geez_t5-15k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4822
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- - Wer: 0.2284
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- - Cer: 0.0780
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- - Bleu: 67.0096
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
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- | 0.2496 | 1.0 | 313 | 0.3291 | 0.2456 | 0.1077 | 67.2734 |
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- | 0.2573 | 2.0 | 626 | 0.3445 | 0.2488 | 0.1114 | 67.1612 |
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- | 0.2368 | 3.0 | 939 | 0.3483 | 0.2075 | 0.0698 | 69.4248 |
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- | 0.1459 | 4.0 | 1252 | 0.3815 | 0.2212 | 0.0806 | 68.5281 |
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- | 0.1552 | 5.0 | 1565 | 0.4081 | 0.2372 | 0.0934 | 66.8604 |
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- | 0.1031 | 6.0 | 1878 | 0.4143 | 0.2084 | 0.0692 | 69.6668 |
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- | 0.1067 | 7.0 | 2191 | 0.4325 | 0.2305 | 0.0853 | 67.3479 |
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- | 0.1111 | 8.0 | 2504 | 0.4380 | 0.2070 | 0.0638 | 68.9579 |
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- | 0.0965 | 9.0 | 2817 | 0.4541 | 0.2195 | 0.0735 | 67.8519 |
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- | 0.0843 | 10.0 | 3130 | 0.4822 | 0.2284 | 0.0780 | 67.0096 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Samuael/geez_t5-15k](https://huggingface.co/Samuael/geez_t5-15k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6541
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+ - Wer: 0.2404
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+ - Cer: 0.0668
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+ - Bleu: 54.5297
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
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+ | 0.0382 | 1.0 | 313 | 1.4979 | 0.2436 | 0.0667 | 55.2918 |
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+ | 0.0411 | 2.0 | 626 | 1.5980 | 0.2419 | 0.0653 | 55.4560 |
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+ | 0.0622 | 3.0 | 939 | 1.5221 | 0.2383 | 0.0683 | 55.5429 |
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+ | 0.0505 | 4.0 | 1252 | 1.5719 | 0.2388 | 0.0662 | 55.6735 |
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+ | 0.0517 | 5.0 | 1565 | 1.6251 | 0.2373 | 0.0666 | 55.7046 |
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+ | 0.0396 | 6.0 | 1878 | 1.5978 | 0.2431 | 0.0680 | 54.5671 |
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+ | 0.0512 | 7.0 | 2191 | 1.5677 | 0.2675 | 0.1019 | 54.3154 |
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+ | 0.0655 | 8.0 | 2504 | 1.5891 | 0.2448 | 0.0676 | 54.6644 |
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+ | 0.05 | 9.0 | 2817 | 1.5952 | 0.2470 | 0.0703 | 54.7796 |
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+ | 0.0415 | 10.0 | 3130 | 1.6541 | 0.2404 | 0.0668 | 54.5297 |
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  ### Framework versions
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