update model card README.md
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README.md
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This model is a fine-tuned version of [mariav/helsinki-opus-de-en-fine-tuned-wmt16](https://huggingface.co/mariav/helsinki-opus-de-en-fine-tuned-wmt16) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rouge1:
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- Rouge2:
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- Rougel:
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- Rougelsum:
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- Gen Len: 23.
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- Bleu-1:
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- Bleu-2:
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- Bleu-3:
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- Bleu-4:
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- Meteor: 0.
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## Model description
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- seed: 7575
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Meteor |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:------:|
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| 0.4009 | 6.0 | 7134 | 0.9534 | 63.6549 | 32.2835 | 60.3324 | 60.344 | 23.4327 | 63.0061 | 44.5392 | 32.1776 | 23.9321 | 0.5342 |
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| 0.3523 | 7.0 | 8323 | 0.9684 | 63.4933 | 31.4582 | 60.1644 | 60.1675 | 23.6657 | 63.2918 | 44.1514 | 31.6161 | 23.2357 | 0.5330 |
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### Framework versions
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This model is a fine-tuned version of [mariav/helsinki-opus-de-en-fine-tuned-wmt16](https://huggingface.co/mariav/helsinki-opus-de-en-fine-tuned-wmt16) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8597
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- Rouge1: 64.539
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- Rouge2: 32.7634
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- Rougel: 61.3523
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- Rougelsum: 61.3758
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- Gen Len: 23.9561
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- Bleu-1: 64.1391
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- Bleu-2: 45.1093
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- Bleu-3: 32.4697
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- Bleu-4: 24.2684
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- Meteor: 0.5436
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## Model description
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- seed: 7575
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Meteor |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:------:|
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| 1.1513 | 1.0 | 1189 | 0.9604 | 61.8236 | 30.0156 | 58.9651 | 58.9484 | 22.8563 | 58.6480 | 40.5508 | 29.0090 | 21.2884 | 0.4961 |
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| 0.9067 | 2.0 | 2378 | 0.8825 | 62.8824 | 30.8604 | 59.9543 | 59.9884 | 22.7564 | 60.5598 | 42.0443 | 29.9532 | 21.8711 | 0.5138 |
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| 0.739 | 3.0 | 3567 | 0.8547 | 63.8251 | 31.6294 | 60.7141 | 60.7508 | 24.5219 | 62.6847 | 43.6395 | 31.1174 | 22.8704 | 0.5318 |
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| 0.636 | 4.0 | 4756 | 0.8554 | 64.5308 | 32.6897 | 61.347 | 61.3929 | 22.7912 | 63.0309 | 44.4786 | 32.0956 | 23.8647 | 0.5369 |
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| 0.5745 | 5.0 | 5945 | 0.8597 | 64.539 | 32.7634 | 61.3523 | 61.3758 | 23.9561 | 64.1391 | 45.1093 | 32.4697 | 24.2684 | 0.5436 |
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### Framework versions
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