transformers tf marian text2text-generation generated_from_keras_callback base_model:Helsinki-NLP/opus-mt-id-en base_model:finetune:Helsinki-NLP/opus-mt-id-en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: Helsinki-NLP/opus-mt-id-en
license: apache-2.0
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 [STIF Indonesia](haryoaw/stif-indonesia) dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0077
- Validation Loss: 1.2870
- Epoch: 99

## 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    |
| 0.0443     | 1.1419          | 38    |
| 0.0407     | 1.1419          | 39    |
| 0.0397     | 1.1495          | 40    |
| 0.0386     | 1.1609          | 41    |
| 0.0346     | 1.1619          | 42    |
| 0.0351     | 1.1638          | 43    |
| 0.0344     | 1.1711          | 44    |
| 0.0302     | 1.1782          | 45    |
| 0.0470     | 1.1836          | 46    |
| 0.0330     | 1.1913          | 47    |
| 0.0284     | 1.1963          | 48    |
| 0.0268     | 1.1964          | 49    |
| 0.0255     | 1.2017          | 50    |
| 0.0236     | 1.2092          | 51    |
| 0.0241     | 1.2104          | 52    |
| 0.0234     | 1.2170          | 53    |
| 0.0216     | 1.2192          | 54    |
| 0.0209     | 1.2317          | 55    |
| 0.0205     | 1.2289          | 56    |
| 0.0193     | 1.2363          | 57    |
| 0.0191     | 1.2295          | 58    |
| 0.0184     | 1.2306          | 59    |
| 0.0185     | 1.2352          | 60    |
| 0.0184     | 1.2415          | 61    |
| 0.0174     | 1.2389          | 62    |
| 0.0166     | 1.2392          | 63    |
| 0.0167     | 1.2469          | 64    |
| 0.0166     | 1.2457          | 65    |
| 0.0147     | 1.2456          | 66    |
| 0.0146     | 1.2511          | 67    |
| 0.0147     | 1.2552          | 68    |
| 0.0147     | 1.2493          | 69    |
| 0.0133     | 1.2532          | 70    |
| 0.0135     | 1.2561          | 71    |
| 0.0136     | 1.2609          | 72    |
| 0.0130     | 1.2602          | 73    |
| 0.0119     | 1.2629          | 74    |
| 0.0123     | 1.2667          | 75    |
| 0.0114     | 1.2675          | 76    |
| 0.0122     | 1.2673          | 77    |
| 0.0111     | 1.2649          | 78    |
| 0.0099     | 1.2722          | 79    |
| 0.0109     | 1.2693          | 80    |
| 0.0101     | 1.2727          | 81    |
| 0.0101     | 1.2746          | 82    |
| 0.0096     | 1.2739          | 83    |
| 0.0103     | 1.2734          | 84    |
| 0.0096     | 1.2805          | 85    |
| 0.0093     | 1.2799          | 86    |
| 0.0097     | 1.2823          | 87    |
| 0.0093     | 1.2826          | 88    |
| 0.0095     | 1.2808          | 89    |
| 0.0091     | 1.2875          | 90    |
| 0.0081     | 1.2849          | 91    |
| 0.0084     | 1.2849          | 92    |
| 0.0083     | 1.2838          | 93    |
| 0.0089     | 1.2866          | 94    |
| 0.0084     | 1.2851          | 95    |
| 0.0082     | 1.2870          | 96    |
| 0.0078     | 1.2871          | 97    |
| 0.0078     | 1.2872          | 98    |
| 0.0077     | 1.2870          | 99    |


### Framework versions

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