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: ar2enCkptfromgendata_01
  results: []
---

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# ar2enCkptfromgendata_01

This model is a fine-tuned version of [Botnoi/ckpt_marian_mt_ar_en_health](https://huggingface.co/Botnoi/ckpt_marian_mt_ar_en_health) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6115
- Bleu: 59.8404

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8149        | 1.0   | 151  | 0.6818          | 55.1419 |
| 0.5402        | 2.0   | 302  | 0.6288          | 57.8755 |
| 0.4761        | 3.0   | 453  | 0.6098          | 58.7418 |
| 0.3477        | 4.0   | 604  | 0.6056          | 59.0117 |
| 0.3204        | 5.0   | 755  | 0.6039          | 59.7086 |
| 0.262         | 6.0   | 906  | 0.6030          | 59.5996 |
| 0.2531        | 7.0   | 1057 | 0.6072          | 59.4558 |
| 0.223         | 8.0   | 1208 | 0.6091          | 59.8874 |
| 0.2101        | 9.0   | 1359 | 0.6108          | 59.7567 |
| 0.2044        | 10.0  | 1510 | 0.6115          | 59.8404 |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
