---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-id-en
tags:
- generated_from_keras_callback
model-index:
- name: aditnnda/machine_translation_informal2formal
  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_informal2formal

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: 0.0453
- Validation Loss: 1.1322
- Epoch: 37

## 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': 6000, '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: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.4298     | 2.4070          | 0     |
| 2.1508     | 1.8031          | 1     |
| 1.6301     | 1.5249          | 2     |
| 1.3013     | 1.3417          | 3     |
| 1.0752     | 1.2465          | 4     |
| 0.9119     | 1.1651          | 5     |
| 0.7778     | 1.1213          | 6     |
| 0.6763     | 1.0813          | 7     |
| 0.5907     | 1.0542          | 8     |
| 0.5162     | 1.0289          | 9     |
| 0.4573     | 1.0265          | 10    |
| 0.4057     | 1.0115          | 11    |
| 0.3645     | 1.0096          | 12    |
| 0.3227     | 1.0037          | 13    |
| 0.2864     | 1.0016          | 14    |
| 0.2598     | 1.0121          | 15    |
| 0.2291     | 1.0079          | 16    |
| 0.2069     | 1.0199          | 17    |
| 0.1876     | 1.0247          | 18    |
| 0.1717     | 1.0199          | 19    |
| 0.1544     | 1.0283          | 20    |
| 0.1393     | 1.0416          | 21    |
| 0.1285     | 1.0370          | 22    |
| 0.1171     | 1.0430          | 23    |
| 0.1069     | 1.0593          | 24    |
| 0.0990     | 1.0670          | 25    |
| 0.0915     | 1.0655          | 26    |
| 0.0827     | 1.0818          | 27    |
| 0.0781     | 1.0903          | 28    |
| 0.0729     | 1.0998          | 29    |
| 0.0678     | 1.0932          | 30    |
| 0.0639     | 1.1051          | 31    |
| 0.0592     | 1.1125          | 32    |
| 0.0556     | 1.1240          | 33    |
| 0.0509     | 1.1177          | 34    |
| 0.0512     | 1.1355          | 35    |
| 0.0438     | 1.1405          | 36    |
| 0.0453     | 1.1322          | 37    |


### Framework versions

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