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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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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: t5-small-finetuned-de-en-256-epochs2
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: wmt14
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+ type: wmt14
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+ args: de-en
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 7.8579
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+ ---
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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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+
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+ # t5-small-finetuned-de-en-256-epochs2
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+
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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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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1073
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+ - Bleu: 7.8579
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+ - Gen Len: 17.3896
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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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 | 2.1179 | 7.8498 | 17.382 |
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+ | No log | 2.0 | 376 | 2.1073 | 7.8579 | 17.3896 |
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+
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+
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+ ### Framework versions
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+
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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