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# opus-mt-en-ro-finetuned-aen-to-bkm

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the arrow dataset.

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 256  | 3.2180          | 1.9705 | 110.3232 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arrow"], "base_model": "Helsinki-NLP/opus-mt-en-ro", "model-index": [{"name": "opus-mt-en-ro-finetuned-aen-to-bkm", "results": []}]}
transformers tensorboard safetensors marian text2text-generation generated_from_trainer dataset:arrow base_model:Helsinki-NLP/opus-mt-en-ro license:apache-2.0 autotrain_compatible endpoints_compatible region:us