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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-de-en
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: t5_small-finetuned-de-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
config: de-en
split: validation
args: de-en
metrics:
- name: Bleu
type: bleu
value: 5.5413
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_small-finetuned-de-to-en
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.
It achieves the following results on the evaluation set:
- Loss: 5.1452
- Bleu: 5.5413
- Gen Len: 27.5002
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.5401 | 1.0 | 3125 | 5.2850 | 4.521 | 28.0959 |
| 2.6412 | 2.0 | 6250 | 5.1799 | 5.2094 | 27.8515 |
| 2.554 | 3.0 | 9375 | 5.1508 | 5.4598 | 27.6353 |
| 2.5307 | 4.0 | 12500 | 5.1452 | 5.5413 | 27.5002 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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