---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-ar-to-en
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-ar-to-en

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:
- Train Loss: 0.0155
- Validation Loss: 5.9802
- Epoch: 14

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.0522     | 4.5969          | 0     |
| 0.0457     | 4.7198          | 1     |
| 0.0415     | 4.5931          | 2     |
| 0.0379     | 5.4758          | 3     |
| 0.0356     | 4.9914          | 4     |
| 0.0315     | 4.7049          | 5     |
| 0.0277     | 4.5416          | 6     |
| 0.0273     | 5.6735          | 7     |
| 0.0254     | 5.1084          | 8     |
| 0.0249     | 4.9089          | 9     |
| 0.0234     | 6.3506          | 10    |
| 0.0208     | 5.7514          | 11    |
| 0.0201     | 5.3350          | 12    |
| 0.0179     | 6.7838          | 13    |
| 0.0155     | 5.9802          | 14    |


### Framework versions

- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1