transformers pytorch marian text2text-generation translation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
metrics:
- bleu
tags:
- translation
- generated_from_trainer
model-index:
- name: en2arCkptfromgendata
  results: []
---

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# en2arCkptfromgendata

This model is a fine-tuned version of [Botnoi/ckpt_marian_mt_en_ar_health](https://huggingface.co/Botnoi/ckpt_marian_mt_en_ar_health) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7945
- Bleu: 53.6921

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.841         | 1.0   | 37   | 0.8527          | 49.1712 |
| 0.4988        | 2.0   | 74   | 0.8091          | 51.9279 |
| 0.3991        | 3.0   | 111  | 0.8032          | 52.7260 |
| 0.3414        | 4.0   | 148  | 0.7959          | 53.4123 |
| 0.2818        | 5.0   | 185  | 0.7927          | 54.3209 |
| 0.2784        | 6.0   | 222  | 0.7920          | 53.4743 |
| 0.2309        | 7.0   | 259  | 0.7914          | 54.3270 |
| 0.2098        | 8.0   | 296  | 0.7894          | 53.5568 |
| 0.1714        | 9.0   | 333  | 0.7939          | 53.6273 |
| 0.2173        | 10.0  | 370  | 0.7945          | 53.6921 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
