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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: helsinki-opus-de-en-fine-tuned-wmt16-finetuned-src-to-trg
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# helsinki-opus-de-en-fine-tuned-wmt16-finetuned-src-to-trg
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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: 0.9684
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- Rouge1: 63.4933
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- Rouge2: 31.4582
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- Rougel: 60.1644
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- Rougelsum: 60.1675
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- Gen Len: 23.6657
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- Bleu-1: 63.2918
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- Bleu-2: 44.1514
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- Bleu-3: 31.6161
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- Bleu-4: 23.2357
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- Meteor: 0.5330
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 5
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- eval_batch_size: 5
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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: 7
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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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| 0.7348 | 1.0 | 1189 | 0.9407 | 61.8229 | 29.2612 | 58.4443 | 58.4242 | 25.6717 | 60.1910 | 40.8083 | 28.4530 | 20.4451 | 0.5069 |
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| 0.7794 | 2.0 | 2378 | 0.8899 | 62.6968 | 30.8608 | 59.6691 | 59.7023 | 22.2829 | 60.8908 | 42.4421 | 30.4327 | 22.2917 | 0.5153 |
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| 0.6464 | 3.0 | 3567 | 0.8960 | 63.399 | 31.2227 | 60.0505 | 60.0958 | 24.0847 | 62.5712 | 43.4595 | 30.9384 | 22.7195 | 0.5269 |
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| 0.5419 | 4.0 | 4756 | 0.9126 | 63.4944 | 30.9818 | 60.1074 | 60.095 | 22.9259 | 61.9100 | 42.9890 | 30.6511 | 22.4916 | 0.5242 |
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| 0.4666 | 5.0 | 5945 | 0.9249 | 63.9576 | 31.6972 | 60.6369 | 60.6662 | 23.708 | 63.1527 | 44.3529 | 32.3818 | 24.4188 | 0.5339 |
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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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- Transformers 4.30.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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