---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ha-en
tags:
- generated_from_keras_callback
model-index:
- name: Baghdad99/saad-opus-ha-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. -->

# Baghdad99/saad-opus-ha-to-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ha-en](https://huggingface.co/Helsinki-NLP/opus-mt-ha-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.9691
- Validation Loss: 3.9168
- Epoch: 24

## 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-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 5.3200     | 4.9969          | 0     |
| 4.7301     | 4.7199          | 1     |
| 4.3658     | 4.5332          | 2     |
| 4.0897     | 4.3940          | 3     |
| 3.8568     | 4.2969          | 4     |
| 3.6818     | 4.2143          | 5     |
| 3.5195     | 4.1530          | 6     |
| 3.3799     | 4.1085          | 7     |
| 3.2595     | 4.0679          | 8     |
| 3.1400     | 4.0438          | 9     |
| 3.0337     | 4.0185          | 10    |
| 2.9335     | 3.9988          | 11    |
| 2.8354     | 3.9766          | 12    |
| 2.7461     | 3.9684          | 13    |
| 2.6650     | 3.9585          | 14    |
| 2.5827     | 3.9477          | 15    |
| 2.5062     | 3.9422          | 16    |
| 2.4289     | 3.9306          | 17    |
| 2.3549     | 3.9208          | 18    |
| 2.2882     | 3.9205          | 19    |
| 2.2195     | 3.9183          | 20    |
| 2.1492     | 3.9157          | 21    |
| 2.0888     | 3.9163          | 22    |
| 2.0302     | 3.9160          | 23    |
| 1.9691     | 3.9168          | 24    |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1