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update model card README.md
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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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- wmt16
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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-to-en-lr1e-4
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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: wmt16
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type: wmt16
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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: 11.3891
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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-to-en-lr1e-4
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8982
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- Bleu: 11.3891
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- Gen Len: 17.2881
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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: 0.0001
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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: 10
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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 | 272 | 2.0257 | 9.1145 | 17.3171 |
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| 2.4581 | 2.0 | 544 | 1.9562 | 10.3226 | 17.3218 |
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| 2.4581 | 3.0 | 816 | 1.9339 | 10.5298 | 17.3414 |
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| 2.1446 | 4.0 | 1088 | 1.9203 | 10.8193 | 17.3398 |
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| 2.1446 | 5.0 | 1360 | 1.9070 | 10.9929 | 17.2848 |
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| 1.9797 | 6.0 | 1632 | 1.9036 | 11.2258 | 17.3258 |
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| 1.9797 | 7.0 | 1904 | 1.8966 | 11.3839 | 17.3044 |
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| 1.8939 | 8.0 | 2176 | 1.8999 | 11.4197 | 17.2768 |
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| 1.8939 | 9.0 | 2448 | 1.8971 | 11.4326 | 17.2791 |
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| 1.8365 | 10.0 | 2720 | 1.8982 | 11.3891 | 17.2881 |
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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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