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# nllb-en-id-ccmatrix

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4791
- Bleu: 65.9837

## 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    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.606         | 1.0   | 28125  | 0.5249          | 64.1268 |
| 0.4943        | 2.0   | 56250  | 0.5043          | 64.7892 |
| 0.467         | 3.0   | 84375  | 0.4945          | 65.2331 |
| 0.4487        | 4.0   | 112500 | 0.4887          | 65.5512 |
| 0.4349        | 5.0   | 140625 | 0.4843          | 65.6806 |
| 0.4242        | 6.0   | 168750 | 0.4822          | 65.7774 |
| 0.416         | 7.0   | 196875 | 0.4801          | 65.8541 |
| 0.4098        | 8.0   | 225000 | 0.4800          | 65.9652 |
| 0.4052        | 9.0   | 253125 | 0.4788          | 65.9701 |
| 0.4023        | 10.0  | 281250 | 0.4791          | 65.9837 |


### Framework versions

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

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["ccmatrix"], "metrics": ["bleu"], "model-index": [{"name": "nllb-en-id-ccmatrix", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "ccmatrix", "type": "ccmatrix", "config": "en-id", "split": "train", "args": "en-id"}, "metrics": [{"type": "bleu", "value": 65.9837, "name": "Bleu"}]}]}]}
transformers pytorch m2m_100 text2text-generation generated_from_trainer dataset:ccmatrix license:cc-by-nc-4.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-cc-by-nc-4.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

nllb-en-id-ccmatrix
===================


This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the ccmatrix dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4791
* Bleu: 65.9837


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 #dataset-ccmatrix #license-cc-by-nc-4.0 #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: 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 #dataset-ccmatrix #license-cc-by-nc-4.0 #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: 10### Training results### Framework versions


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