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---
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
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