---
tags:
- generated_from_trainer
datasets:
- open_subtitles
metrics:
- bleu
model-index:
- name: opus-mt-en-id-open-subtitles
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: open_subtitles
      type: open_subtitles
      config: en-id
      split: train
      args: en-id
    metrics:
    - name: Bleu
      type: bleu
      value: 30.2272
---

<!-- 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-en-id-open-subtitles

This model was trained from scratch on the open_subtitles dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3148
- Bleu: 30.2272

## 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: 0.0001
- 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    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 1.5356        | 1.0   | 28125  | 1.5619          | 31.8599 |
| 1.4703        | 2.0   | 56250  | 1.6047          | 31.8339 |
| 1.3857        | 3.0   | 84375  | 1.6281          | 32.0796 |
| 1.313         | 4.0   | 112500 | 1.6619          | 31.7391 |
| 1.2468        | 5.0   | 140625 | 1.6706          | 31.9009 |
| 1.1831        | 6.0   | 168750 | 1.6924          | 31.4491 |
| 1.1232        | 7.0   | 196875 | 1.7252          | 31.7229 |
| 1.0649        | 8.0   | 225000 | 1.7483          | 31.7093 |
| 1.0078        | 9.0   | 253125 | 1.7697          | 31.4902 |
| 0.9516        | 10.0  | 281250 | 1.8026          | 31.4342 |
| 0.8969        | 11.0  | 309375 | 1.8364          | 31.2466 |
| 0.8436        | 12.0  | 337500 | 1.8747          | 31.1737 |
| 0.7916        | 13.0  | 365625 | 1.9035          | 31.0118 |
| 0.7406        | 14.0  | 393750 | 1.9414          | 30.9409 |
| 0.6912        | 15.0  | 421875 | 1.9776          | 30.9562 |
| 0.6439        | 16.0  | 450000 | 2.0221          | 30.582  |
| 0.5983        | 17.0  | 478125 | 2.0588          | 30.4478 |
| 0.5544        | 18.0  | 506250 | 2.1023          | 30.4601 |
| 0.5126        | 19.0  | 534375 | 2.1367          | 30.4802 |
| 0.474         | 20.0  | 562500 | 2.1790          | 30.4211 |
| 0.438         | 21.0  | 590625 | 2.2131          | 30.3327 |
| 0.4039        | 22.0  | 618750 | 2.2484          | 30.196  |
| 0.3737        | 23.0  | 646875 | 2.2779          | 30.1145 |
| 0.3475        | 24.0  | 675000 | 2.3022          | 30.2635 |
| 0.326         | 25.0  | 703125 | 2.3148          | 30.2272 |


### Framework versions

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