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mbart-large-50-many-to-many-mmt-finetuned-pt-to-en

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/May10_08-46-52_7aeae9bc1f3540229912ccff25f42d99000000/events.out.tfevents.1715330814.7aeae9bc1f3540229912ccff25f42d99000000.3104.0 +2 -2
README.md CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.0116
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- - Bleu: 3.9795
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- - Gen Len: 46.1292
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | 2.981 | 1.0 | 989 | 2.6925 | 2.0264 | 53.1604 |
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- | 2.1381 | 2.0 | 1978 | 2.6576 | 2.6268 | 47.2153 |
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- | 1.6501 | 3.0 | 2967 | 2.7743 | 2.9549 | 45.5091 |
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- | 1.2518 | 4.0 | 3956 | 2.9517 | 3.1862 | 49.9585 |
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- | 0.9188 | 5.0 | 4945 | 3.1741 | 3.3758 | 46.0227 |
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- | 0.6615 | 6.0 | 5934 | 3.3934 | 3.4223 | 42.5911 |
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- | 0.4714 | 7.0 | 6923 | 3.6090 | 3.8522 | 48.1263 |
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- | 0.3283 | 8.0 | 7912 | 3.8027 | 3.7817 | 46.4619 |
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- | 0.2291 | 9.0 | 8901 | 3.9314 | 3.9939 | 47.2651 |
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- | 0.163 | 10.0 | 9890 | 4.0116 | 3.9795 | 46.1292 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.8212
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+ - Bleu: 5.1667
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+ - Gen Len: 53.5411
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  ## Model description
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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 | 154 | 2.9955 | 1.7894 | 44.0952 |
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+ | No log | 2.0 | 308 | 2.8970 | 2.326 | 46.8317 |
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+ | No log | 3.0 | 462 | 2.9511 | 3.0767 | 55.8505 |
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+ | 2.5276 | 4.0 | 616 | 3.0830 | 3.3555 | 48.737 |
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+ | 2.5276 | 5.0 | 770 | 3.2703 | 3.5714 | 47.0602 |
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+ | 2.5276 | 6.0 | 924 | 3.4241 | 4.3465 | 52.7744 |
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+ | 1.0364 | 7.0 | 1078 | 3.5665 | 4.4909 | 52.705 |
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+ | 1.0364 | 8.0 | 1232 | 3.6942 | 4.6399 | 50.4717 |
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+ | 1.0364 | 9.0 | 1386 | 3.7852 | 5.2082 | 54.6205 |
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+ | 0.3319 | 10.0 | 1540 | 3.8212 | 5.1667 | 53.5411 |
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  ### Framework versions
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