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# opus-mt-en-id-jakarta

This model was trained from scratch on the inglish dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3122
- Bleu: 81.3279

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.9934        | 1.0   | 272  | 0.7998          | 57.6098 |
| 0.8752        | 2.0   | 544  | 0.6945          | 60.2893 |
| 0.762         | 3.0   | 816  | 0.6118          | 63.4407 |
| 0.6825        | 4.0   | 1088 | 0.5591          | 65.9376 |
| 0.6178        | 5.0   | 1360 | 0.5200          | 67.9008 |
| 0.5655        | 6.0   | 1632 | 0.4866          | 69.3854 |
| 0.516         | 7.0   | 1904 | 0.4580          | 70.8301 |
| 0.4685        | 8.0   | 2176 | 0.4334          | 72.0389 |
| 0.428         | 9.0   | 2448 | 0.4102          | 73.1174 |
| 0.3871        | 10.0  | 2720 | 0.3908          | 74.4526 |
| 0.3507        | 11.0  | 2992 | 0.3750          | 75.4508 |
| 0.3154        | 12.0  | 3264 | 0.3619          | 76.2748 |
| 0.2845        | 13.0  | 3536 | 0.3491          | 77.0737 |
| 0.2549        | 14.0  | 3808 | 0.3390          | 77.958  |
| 0.2269        | 15.0  | 4080 | 0.3312          | 78.6107 |
| 0.2045        | 16.0  | 4352 | 0.3240          | 79.3878 |
| 0.183         | 17.0  | 4624 | 0.3200          | 79.7554 |
| 0.1662        | 18.0  | 4896 | 0.3176          | 80.1064 |
| 0.1539        | 19.0  | 5168 | 0.3154          | 80.3286 |
| 0.1439        | 20.0  | 5440 | 0.3127          | 80.7742 |
| 0.133         | 21.0  | 5712 | 0.3126          | 80.8623 |
| 0.1262        | 22.0  | 5984 | 0.3133          | 81.0054 |
| 0.1213        | 23.0  | 6256 | 0.3132          | 81.2101 |
| 0.1169        | 24.0  | 6528 | 0.3123          | 81.2647 |
| 0.1149        | 25.0  | 6800 | 0.3122          | 81.3279 |


### Framework versions

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

{"tags": ["generated_from_trainer"], "datasets": ["inglish"], "metrics": ["bleu"], "model-index": [{"name": "opus-mt-en-id-jakarta", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "inglish", "type": "inglish", "config": "default", "split": "validation", "args": "default"}, "metrics": [{"type": "bleu", "value": 81.3279, "name": "Bleu"}]}]}]}
transformers pytorch marian text2text-generation generated_from_trainer dataset:inglish model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #dataset-inglish #model-index #autotrain_compatible #endpoints_compatible #region-us 

opus-mt-en-id-jakarta
=====================


This model was trained from scratch on the inglish dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3122
* Bleu: 81.3279


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 #dataset-inglish #model-index #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 #dataset-inglish #model-index #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