---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-id-en
tags:
- generated_from_keras_callback
model-index:
- name: aditnnda/machine_translation
  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. -->

# aditnnda/machine_translation

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-id-en](https://huggingface.co/Helsinki-NLP/opus-mt-id-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2082
- Validation Loss: 1.0149
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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 |
|:----------:|:---------------:|:-----:|
| 1.8561     | 1.6274          | 0     |
| 1.4184     | 1.4283          | 1     |
| 1.1634     | 1.2964          | 2     |
| 0.9729     | 1.2049          | 3     |
| 0.8390     | 1.1546          | 4     |
| 0.7333     | 1.1060          | 5     |
| 0.6449     | 1.0874          | 6     |
| 0.6032     | 1.0554          | 7     |
| 0.5251     | 1.0308          | 8     |
| 0.4711     | 1.0321          | 9     |
| 0.4255     | 1.0258          | 10    |
| 0.3880     | 1.0208          | 11    |
| 0.3622     | 1.0189          | 12    |
| 0.3337     | 1.0176          | 13    |
| 0.3107     | 1.0187          | 14    |
| 0.2922     | 1.0149          | 15    |
| 0.2718     | 1.0110          | 16    |
| 0.2594     | 1.0118          | 17    |
| 0.2460     | 1.0116          | 18    |
| 0.2334     | 1.0133          | 19    |
| 0.2279     | 1.0156          | 20    |
| 0.2210     | 1.0134          | 21    |
| 0.2130     | 1.0147          | 22    |
| 0.2085     | 1.0157          | 23    |
| 0.2082     | 1.0149          | 24    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0