---
tags:
- generated_from_trainer
datasets:
- ccmatrix
metrics:
- bleu
model-index:
- name: nllb-id-en-ccmatrix
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: ccmatrix
      type: ccmatrix
      config: en-id
      split: train
      args: en-id
    metrics:
    - name: Bleu
      type: bleu
      value: 60.1097
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nllb-id-en-ccmatrix

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4863
- Bleu: 60.1097

## 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       |
|:-------------:|:-----:|:------:|:----------------:|:----------:|
| 0.5523        | 1.0   | 28125  | 0.5070           | 58.684     |
| 0.4789        | 2.0   | 56250  | 0.4965           | 59.1724    |
| 0.4592        | 3.0   | 84375  | 0.4926           | 59.4186    |
| 0.4451        | 4.0   | 112500 | 0.4898           | 59.7352    |
| 0.4338        | 5.0   | 140625 | 0.4876           | 59.814     |
| 0.425         | 6.0   | 168750 | 0.4864           | 59.9321    |
| 0.4179        | 7.0   | 196875 | 0.4860           | 59.9852    |
| 0.4124        | 8.0   | 225000 | 0.4861           | 60.0556    |
| 0.4084        | 9.0   | 253125 | 0.4857           | 60.0791    |
| 0.4056        | 10.0  | 281250 | 0.4863           | 60.1097    |


### Framework versions

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