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IndoT5-LoRA-R32-LR0.0003-Ep20
raniiaa17/IndoT5-LoRA-R32-LR0.0003-Ep20
IndoT5-LoRA-R32-LR0.0003-Ep20 is a machine learning model from raniiaa17. 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 peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 25, 2026
- Updated
- Jan 25, 2026
- SHA
- 973c6234
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. -->
IndoT5-LoRA-R32-LR0.0003-Ep20
This model is a fine-tuned version of Wikidepia/IndoT5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4510
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.866 | 1.0 | 188 | 0.8142 |
| 0.5507 | 2.0 | 376 | 0.5509 |
| 0.5726 | 3.0 | 564 | 0.5266 |
| 0.5125 | 4.0 | 752 | 0.5234 |
| 0.5742 | 5.0 | 940 | 0.5098 |
| 0.5129 | 6.0 | 1128 | 0.5091 |
| 0.4981 | 7.0 | 1316 | 0.4601 |
| 0.4559 | 8.0 | 1504 | 0.4538 |
| 0.427 | 9.0 | 1692 | 0.4460 |
| 0.414 | 10.0 | 1880 | 0.4432 |
| 0.4007 | 11.0 | 2068 | 0.4467 |
| 0.3969 | 12.0 | 2256 | 0.4369 |
| 0.4267 | 13.0 | 2444 | 0.4397 |
| 0.3928 | 14.0 | 2632 | 0.4405 |
| 0.3992 | 15.0 | 2820 | 0.4510 |
Framework versions
- PEFT 0.18.1
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- Created
- Jan 25, 2026
- Updated
- Jan 25, 2026