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# opus-mt-id-en-jakarta

This model was trained from scratch on the inglish dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5167
- Bleu: 67.0647

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.2178        | 1.0   | 272  | 1.0343          | 47.6405 |
| 1.1206        | 2.0   | 544  | 0.9537          | 49.2033 |
| 1.038         | 3.0   | 816  | 0.8950          | 50.6658 |
| 0.9686        | 4.0   | 1088 | 0.8473          | 51.8963 |
| 0.9085        | 5.0   | 1360 | 0.8089          | 52.9515 |
| 0.854         | 6.0   | 1632 | 0.7728          | 53.9652 |
| 0.8002        | 7.0   | 1904 | 0.7423          | 54.9825 |
| 0.7486        | 8.0   | 2176 | 0.7127          | 55.8795 |
| 0.7006        | 9.0   | 2448 | 0.6837          | 56.9391 |
| 0.6514        | 10.0  | 2720 | 0.6618          | 57.8949 |
| 0.6059        | 11.0  | 2992 | 0.6367          | 59.0581 |
| 0.5618        | 12.0  | 3264 | 0.6180          | 59.7973 |
| 0.5186        | 13.0  | 3536 | 0.5972          | 60.9435 |
| 0.4793        | 14.0  | 3808 | 0.5788          | 61.8618 |
| 0.4386        | 15.0  | 4080 | 0.5642          | 62.9536 |
| 0.4028        | 16.0  | 4352 | 0.5519          | 63.7941 |
| 0.371         | 17.0  | 4624 | 0.5410          | 64.6409 |
| 0.3455        | 18.0  | 4896 | 0.5349          | 65.1385 |
| 0.3239        | 19.0  | 5168 | 0.5291          | 65.6674 |
| 0.3067        | 20.0  | 5440 | 0.5254          | 66.0443 |
| 0.292         | 21.0  | 5712 | 0.5220          | 66.4475 |
| 0.2808        | 22.0  | 5984 | 0.5190          | 66.5645 |
| 0.2712        | 23.0  | 6256 | 0.5179          | 66.927  |
| 0.2652        | 24.0  | 6528 | 0.5167          | 66.9501 |
| 0.2603        | 25.0  | 6800 | 0.5167          | 67.0647 |


### 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-id-en-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": 67.0647, "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-id-en-jakarta
=====================


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


* Loss: 0.5167
* Bleu: 67.0647


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