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indobart-en-id
This model is a fine-tuned version of indobenchmark/indobart-v2. It achieves the following results on the evaluation set:
- Loss: 0.4035
- Bleu: 20.4747
- Gen Len: 19.134
Model description
Trained on the Asian Language Treebank Project Corpus (en-id). The goal of the model is to translate from English to Indonesian.
Training and evaluation data
The ALT Project Corpus has over 20,000 entries of English to Indonesian sentences. The training and evaluation data is split 80/20.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.914 | 1.0 | 503 | 0.5118 | 14.8205 | 19.2874 |
| 0.5805 | 2.0 | 1006 | 0.4606 | 17.2483 | 19.236 |
| 0.4971 | 3.0 | 1509 | 0.4370 | 18.4965 | 19.2449 |
| 0.4444 | 4.0 | 2012 | 0.4251 | 19.3336 | 19.1765 |
| 0.4037 | 5.0 | 2515 | 0.4152 | 19.6643 | 19.1648 |
| 0.3732 | 6.0 | 3018 | 0.4103 | 20.0701 | 19.1987 |
| 0.3503 | 7.0 | 3521 | 0.4066 | 20.1264 | 19.1258 |
| 0.3325 | 8.0 | 4024 | 0.4040 | 20.5349 | 19.1571 |
| 0.3207 | 9.0 | 4527 | 0.4041 | 20.4371 | 19.1348 |
| 0.3116 | 10.0 | 5030 | 0.4035 | 20.4747 | 19.134 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
