Downloads · 30 days
8
16% of all-time downloads
indobart-indonlg-jv-id
Mikask/indobart-indonlg-jv-id
indobart-indonlg-jv-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. --
All-time downloads
50
Public
Repo size
1.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin526 MB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Oct 14, 2023
- Updated
- Oct 14, 2023
- SHA
- 8376f177
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-combined-jv-id
This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6285
- Bleu: 16.9732
- Gen Len: 19.4429
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: 2e-05
- train_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 94 | 0.8084 | 11.1865 | 19.5232 |
| No log | 2.0 | 188 | 0.7259 | 13.1223 | 19.478 |
| No log | 3.0 | 282 | 0.6905 | 14.6859 | 19.4366 |
| No log | 4.0 | 376 | 0.6682 | 15.2578 | 19.4216 |
| No log | 5.0 | 470 | 0.6536 | 15.9459 | 19.4366 |
| 0.8734 | 6.0 | 564 | 0.6439 | 16.3189 | 19.4115 |
| 0.8734 | 7.0 | 658 | 0.6367 | 16.7353 | 19.4228 |
| 0.8734 | 8.0 | 752 | 0.6327 | 16.9575 | 19.4529 |
| 0.8734 | 9.0 | 846 | 0.6300 | 17.093 | 19.4442 |
| 0.8734 | 10.0 | 940 | 0.6285 | 16.9732 | 19.4429 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Oct 14, 2023
- Updated
- Oct 14, 2023