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README.md
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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-batch8
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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: 10.039
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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-batch8
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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: 2.1282
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- Bleu: 10.039
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- Gen Len: 17.3839
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 5
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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 | 375 | 2.0912 | 9.9147 | 17.3084 |
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| 1.5593 | 2.0 | 750 | 2.0858 | 9.9386 | 17.4299 |
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| 1.4383 | 3.0 | 1125 | 2.1137 | 9.9804 | 17.34 |
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| 1.3562 | 4.0 | 1500 | 2.1198 | 9.9685 | 17.367 |
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| 1.3562 | 5.0 | 1875 | 2.1282 | 10.039 | 17.3839 |
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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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