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# opus-mt-ar-en_fine_tuned

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3624
- Bleu: 32.8759
- Gen Len: 11.408

## 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.9405        | 1.0   | 966  | 1.5017          | 27.5197 | 11.8405 |
| 1.3724        | 2.0   | 1932 | 1.4046          | 30.9633 | 11.4981 |
| 1.1554        | 3.0   | 2898 | 1.3716          | 31.8377 | 11.4522 |
| 1.0129        | 4.0   | 3864 | 1.3625          | 32.6816 | 11.4385 |
| 0.9428        | 5.0   | 4830 | 1.3583          | 33.0664 | 11.3466 |
| 0.8652        | 6.0   | 5796 | 1.3609          | 32.9727 | 11.3777 |
| 0.8399        | 7.0   | 6762 | 1.3624          | 32.8759 | 11.408  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-ar-en", "model-index": [{"name": "opus-mt-ar-en_fine_tuned", "results": []}]}
transformers tensorboard safetensors marian text2text-generation generated_from_trainer base_model:Helsinki-NLP/opus-mt-ar-en license:apache-2.0 autotrain_compatible endpoints_compatible region:us