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update model card README.md

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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.8103
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- - Bleu: 8.7335
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- - Gen Len: 23.16
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  ## Model description
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@@ -48,33 +48,33 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | No log | 1.0 | 14 | 8.4807 | 0.0 | 403.72 |
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- | No log | 2.0 | 28 | 7.7371 | 0.0 | 189.68 |
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- | No log | 3.0 | 42 | 7.2123 | 0.1961 | 80.52 |
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- | No log | 4.0 | 56 | 6.8014 | 0.1764 | 100.08 |
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- | No log | 5.0 | 70 | 6.4285 | 0.2171 | 54.96 |
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- | No log | 6.0 | 84 | 6.1286 | 0.209 | 88.92 |
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- | No log | 7.0 | 98 | 5.8323 | 0.2334 | 26.0 |
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- | No log | 8.0 | 112 | 5.6044 | 0.2352 | 25.6 |
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- | No log | 9.0 | 126 | 5.3873 | 0.2435 | 25.84 |
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- | No log | 10.0 | 140 | 5.2068 | 0.2459 | 24.48 |
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- | No log | 11.0 | 154 | 5.0464 | 0.6902 | 23.68 |
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- | No log | 12.0 | 168 | 4.8825 | 0.7391 | 24.4 |
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- | No log | 13.0 | 182 | 4.7366 | 1.185 | 22.68 |
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- | No log | 14.0 | 196 | 4.5743 | 1.3994 | 23.6 |
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- | No log | 15.0 | 210 | 4.4676 | 1.9653 | 23.84 |
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- | No log | 16.0 | 224 | 4.3406 | 1.9566 | 23.88 |
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- | No log | 17.0 | 238 | 4.2305 | 2.1215 | 22.88 |
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- | No log | 18.0 | 252 | 4.1240 | 4.4593 | 22.28 |
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- | No log | 19.0 | 266 | 4.0583 | 3.2999 | 22.52 |
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- | No log | 20.0 | 280 | 3.9704 | 7.1094 | 23.12 |
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- | No log | 21.0 | 294 | 3.9151 | 7.3081 | 23.12 |
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- | No log | 22.0 | 308 | 3.8737 | 7.2132 | 23.72 |
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- | No log | 23.0 | 322 | 3.8393 | 9.0724 | 22.92 |
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- | No log | 24.0 | 336 | 3.8173 | 8.8528 | 23.0 |
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- | No log | 25.0 | 350 | 3.8103 | 8.7335 | 23.16 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0027
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+ - Bleu: 9.3993
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+ - Gen Len: 14.8889
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
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+ | No log | 1.0 | 21 | 8.1233 | 0.0 | 217.5833 |
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+ | No log | 2.0 | 42 | 7.3522 | 0.1587 | 139.6111 |
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+ | No log | 3.0 | 63 | 6.7128 | 0.2113 | 63.9722 |
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+ | No log | 4.0 | 84 | 6.2283 | 0.2611 | 25.7222 |
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+ | No log | 5.0 | 105 | 5.7868 | 0.2545 | 27.3333 |
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+ | No log | 6.0 | 126 | 5.4596 | 0.4153 | 25.75 |
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+ | No log | 7.0 | 147 | 5.1424 | 0.8436 | 12.6944 |
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+ | No log | 8.0 | 168 | 4.8195 | 0.8365 | 13.3889 |
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+ | No log | 9.0 | 189 | 4.6181 | 1.2564 | 12.3889 |
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+ | No log | 10.0 | 210 | 4.3480 | 1.7124 | 12.9722 |
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+ | No log | 11.0 | 231 | 4.1206 | 3.2404 | 13.4167 |
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+ | No log | 12.0 | 252 | 3.8982 | 2.4371 | 14.4167 |
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+ | No log | 13.0 | 273 | 3.7679 | 3.9697 | 14.2778 |
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+ | No log | 14.0 | 294 | 3.6359 | 4.7946 | 13.8889 |
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+ | No log | 15.0 | 315 | 3.4940 | 5.9909 | 14.75 |
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+ | No log | 16.0 | 336 | 3.3826 | 8.193 | 14.5278 |
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+ | No log | 17.0 | 357 | 3.3084 | 7.5299 | 14.3056 |
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+ | No log | 18.0 | 378 | 3.2302 | 8.5741 | 14.5833 |
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+ | No log | 19.0 | 399 | 3.1751 | 5.9148 | 14.8611 |
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+ | No log | 20.0 | 420 | 3.1242 | 10.389 | 14.3889 |
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+ | No log | 21.0 | 441 | 3.0618 | 10.5285 | 14.6944 |
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+ | No log | 22.0 | 462 | 3.0439 | 11.3953 | 14.6667 |
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+ | No log | 23.0 | 483 | 3.0161 | 10.9885 | 14.8889 |
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+ | 4.3311 | 24.0 | 504 | 3.0184 | 9.6143 | 14.7778 |
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+ | 4.3311 | 25.0 | 525 | 3.0027 | 9.3993 | 14.8889 |
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  ### Framework versions