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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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datasets:
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- wmt14
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model-index:
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- name: t5-small-finetuned-de-en-256-wd-01
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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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# t5-small-finetuned-de-en-256-wd-01
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt14 dataset.
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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: 16
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- eval_batch_size: 16
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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: 1
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| No log | 1.0 | 188 | 2.1202 | 7.5964 | 17.3996 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.10.0+cu111
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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