transformers tensorboard safetensors marian text2text-generation generated_from_trainer base_model:Helsinki-NLP/opus-mt-en-de license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-en-de
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation-eng-ger
  results: []
---

<!-- 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. -->

# translation-eng-ger

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5570
- Bleu: 53.1421
- Gen Len: 9.2669

## 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.6154        | 1.0   | 9693  | 0.5709          | 52.364  | 9.2343  |
| 0.5144        | 2.0   | 19386 | 0.5570          | 53.1421 | 9.2669  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
