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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-de-en |
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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 |
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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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config: de-en |
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split: validation |
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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: 5.5413 |
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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 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt16 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.1452 |
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- Bleu: 5.5413 |
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- Gen Len: 27.5002 |
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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: 4 |
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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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| 2.5401 | 1.0 | 3125 | 5.2850 | 4.521 | 28.0959 | |
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| 2.6412 | 2.0 | 6250 | 5.1799 | 5.2094 | 27.8515 | |
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| 2.554 | 3.0 | 9375 | 5.1508 | 5.4598 | 27.6353 | |
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| 2.5307 | 4.0 | 12500 | 5.1452 | 5.5413 | 27.5002 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.2 |
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