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_02
  results: []
---

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# ar2enCkptfromgendata_02

This model is a fine-tuned version of [Shularp/ar2enCkptfromgendata_01](https://huggingface.co/Shularp/ar2enCkptfromgendata_01) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3127
- Bleu: 75.0762

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4027        | 1.0   | 151  | 0.2742          | 78.6168 |
| 0.2541        | 2.0   | 302  | 0.2781          | 78.3237 |
| 0.2319        | 3.0   | 453  | 0.2858          | 77.7606 |
| 0.1957        | 4.0   | 604  | 0.2937          | 76.5858 |
| 0.1372        | 5.0   | 755  | 0.2992          | 76.1158 |
| 0.1413        | 6.0   | 906  | 0.3047          | 75.7260 |
| 0.12          | 7.0   | 1057 | 0.3099          | 75.6321 |
| 0.1314        | 8.0   | 1208 | 0.3110          | 75.1247 |
| 0.0864        | 9.0   | 1359 | 0.3118          | 75.3267 |
| 0.0873        | 10.0  | 1510 | 0.3127          | 75.0762 |


### Framework versions

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