Downloads · 30 days
3
9% of all-time downloads
KD-LoRA-T2.0-A0.5
raniiaa17/KD-LoRA-T2.0-A0.5
KD-LoRA-T2.0-A0.5 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. --
All-time downloads
34
Public
Repo size
133 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors11 MB · 77%
At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026
- SHA
- 091fff77
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. -->
KD-LoRA-T2.0-A0.5
This model is a fine-tuned version of Wikidepia/IndoT5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 63.6840
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: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 118.4695 | 1.0 | 188 | 93.3722 |
| 98.8505 | 2.0 | 376 | 86.5585 |
| 89.0014 | 3.0 | 564 | 72.2749 |
| 82.6209 | 4.0 | 752 | 70.5629 |
| 80.838 | 5.0 | 940 | 67.1898 |
| 77.9154 | 6.0 | 1128 | 67.8465 |
| 78.5593 | 7.0 | 1316 | 66.7364 |
| 76.4706 | 8.0 | 1504 | 66.5077 |
| 75.1357 | 9.0 | 1692 | 63.5737 |
| 74.6058 | 10.0 | 1880 | 64.3851 |
| 72.7942 | 11.0 | 2068 | 64.0434 |
| 72.2677 | 12.0 | 2256 | 63.6840 |
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 26, 2026
- Updated
- Jan 26, 2026