---
tags:
- generated_from_trainer
datasets:
- ccmatrix
metrics:
- bleu
model-index:
- name: opus-mt-id-en-ccmatrix-v2
  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: 52.173
---

<!-- 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. -->

# opus-mt-id-en-ccmatrix-v2

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7667
- Bleu: 52.173

## 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: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.803         | 1.0   | 148438 | 0.8185          | 50.3216 |
| 0.7212        | 2.0   | 296876 | 0.7904          | 51.282  |
| 0.6913        | 3.0   | 445314 | 0.7791          | 51.7806 |
| 0.6727        | 4.0   | 593752 | 0.7691          | 52.0263 |
| 0.6609        | 5.0   | 742190 | 0.7667          | 52.173  |


### Framework versions

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