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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- wmt16
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model-index:
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- name: TranslationDe2En
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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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# TranslationDe2En
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This model was trained from scratch on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0338
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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: 2e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.8864 | 1.0 | 391 | 2.1916 |
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| 2.7248 | 2.0 | 782 | 2.1310 |
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| 2.6707 | 3.0 | 1173 | 2.0956 |
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| 2.6382 | 4.0 | 1564 | 2.0747 |
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| 2.6145 | 5.0 | 1955 | 2.0613 |
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| 2.5978 | 6.0 | 2346 | 2.0500 |
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| 2.5846 | 7.0 | 2737 | 2.0424 |
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| 2.575 | 8.0 | 3128 | 2.0376 |
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| 2.5694 | 9.0 | 3519 | 2.0349 |
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| 2.5673 | 10.0 | 3910 | 2.0338 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu117
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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