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# nllb-ecolindo

This model was trained from scratch on the EColIndo dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8704
- Bleu: 37.2396

## 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: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 1.3017        | 1.0   | 21019  | 0.9831          | 35.0676 |
| 1.0088        | 2.0   | 42038  | 0.9318          | 36.3191 |
| 0.9472        | 3.0   | 63057  | 0.9090          | 36.5221 |
| 0.9078        | 4.0   | 84076  | 0.8919          | 36.3949 |
| 0.8789        | 5.0   | 105095 | 0.8833          | 37.3689 |
| 0.8576        | 6.0   | 126114 | 0.8785          | 37.2262 |
| 0.8403        | 7.0   | 147133 | 0.8748          | 37.2933 |
| 0.8281        | 8.0   | 168152 | 0.8717          | 37.2952 |
| 0.8186        | 9.0   | 189171 | 0.8709          | 37.2801 |
| 0.813         | 10.0  | 210190 | 0.8704          | 37.2396 |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0
{"language": ["id", "en"], "tags": ["generated_from_trainer"], "datasets": ["yonathanstwn/ecolindo"], "metrics": ["bleu"], "model-index": [{"name": "nllb-ecolindo", "results": []}]}
transformers pytorch m2m_100 text2text-generation generated_from_trainer id en dataset:yonathanstwn/ecolindo autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #generated_from_trainer #id #en #dataset-yonathanstwn/ecolindo #autotrain_compatible #endpoints_compatible #region-us 

nllb-ecolindo
=============


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


* Loss: 0.8704
* Bleu: 37.2396


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: 10


### 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: 10 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #generated_from_trainer #id #en #dataset-yonathanstwn/ecolindo #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: 10 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #generated_from_trainer #id #en #dataset-yonathanstwn/ecolindo #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: 10### Training results### Framework versions


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