
<!-- 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. -->

# opus-mt-en-de-BDS-G1

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: 1.1349
- Bleu: 37.8595
- Gen Len: 10.9685

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.3813        | 1.0   | 625  | 1.1349          | 37.8595 | 10.9685 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "cc-by-4.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-de", "model-index": [{"name": "opus-mt-en-de-BDS-G1", "results": []}]}
transformers tensorboard safetensors marian text2text-generation translation generated_from_trainer base_model:Helsinki-NLP/opus-mt-en-de license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us