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# opus-ecolindo

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-id](https://huggingface.co/Helsinki-NLP/opus-mt-en-id) on the EColIndo dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1254
- Bleu: 35.4242

## 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:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 1.4457        | 1.0   | 21019  | 1.1641          | 35.6285 |
| 1.1877        | 2.0   | 42038  | 1.1141          | 35.9198 |
| 1.1049        | 3.0   | 63057  | 1.0936          | 36.0605 |
| 1.049         | 4.0   | 84076  | 1.0821          | 36.0444 |
| 1.0051        | 5.0   | 105095 | 1.0794          | 36.6179 |
| 0.9685        | 6.0   | 126114 | 1.0751          | 36.7172 |
| 0.9376        | 7.0   | 147133 | 1.0751          | 36.407  |
| 0.9098        | 8.0   | 168152 | 1.0759          | 36.7071 |
| 0.8859        | 9.0   | 189171 | 1.0809          | 36.0112 |
| 0.864         | 10.0  | 210190 | 1.0800          | 36.1705 |
| 0.844         | 11.0  | 231209 | 1.0861          | 36.1114 |
| 0.8261        | 12.0  | 252228 | 1.0862          | 35.9952 |
| 0.8102        | 13.0  | 273247 | 1.0944          | 35.659  |
| 0.7945        | 14.0  | 294266 | 1.0982          | 35.5881 |
| 0.7812        | 15.0  | 315285 | 1.1019          | 35.8675 |
| 0.7688        | 16.0  | 336304 | 1.1066          | 35.5418 |
| 0.7576        | 17.0  | 357323 | 1.1087          | 35.7305 |
| 0.7472        | 18.0  | 378342 | 1.1116          | 35.4516 |
| 0.7377        | 19.0  | 399361 | 1.1162          | 35.3253 |
| 0.7298        | 20.0  | 420380 | 1.1185          | 35.2614 |
| 0.7233        | 21.0  | 441399 | 1.1203          | 35.5355 |
| 0.7162        | 22.0  | 462418 | 1.1220          | 35.3226 |
| 0.7116        | 23.0  | 483437 | 1.1226          | 35.3893 |
| 0.7075        | 24.0  | 504456 | 1.1250          | 35.4201 |
| 0.7037        | 25.0  | 525475 | 1.1254          | 35.4242 |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0
{"language": ["id", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["yonathanstwn/ecolindo"], "metrics": ["bleu"], "model-index": [{"name": "opus-ecolindo", "results": []}]}
transformers pytorch marian text2text-generation generated_from_trainer id en dataset:yonathanstwn/ecolindo license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #id #en #dataset-yonathanstwn/ecolindo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

opus-ecolindo
=============


This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-id on the EColIndo dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1254
* Bleu: 35.4242


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:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #id #en #dataset-yonathanstwn/ecolindo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #id #en #dataset-yonathanstwn/ecolindo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0