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indobart-altp-en-id
Mikask/indobart-altp-en-id
indobart-altp-en-id is a machine learning model from Mikask. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Oct 2, 2023
- Updated
- Oct 8, 2023
- SHA
- 7749bdfb
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
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
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Oct 2, 2023
- Updated
- Oct 8, 2023