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KD-LoRA-T1.0-A0.9
raniiaa17/KD-LoRA-T1.0-A0.9
KD-LoRA-T1.0-A0.9 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 26, 2026
- Updated
- Jan 26, 2026
- SHA
- 7fb7acfa
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-T1.0-A0.9
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: 23.9742
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 |
|---|---|---|---|
| 63.6688 | 1.0 | 188 | 39.5051 |
| 45.7146 | 2.0 | 376 | 31.6004 |
| 45.1874 | 3.0 | 564 | 30.4234 |
| 38.3986 | 4.0 | 752 | 29.7535 |
| 38.7209 | 5.0 | 940 | 27.7220 |
| 37.5717 | 6.0 | 1128 | 27.6105 |
| 37.3339 | 7.0 | 1316 | 26.8692 |
| 34.4607 | 8.0 | 1504 | 26.2214 |
| 32.711 | 9.0 | 1692 | 25.3348 |
| 32.335 | 10.0 | 1880 | 24.8408 |
| 30.9422 | 11.0 | 2068 | 25.7691 |
| 30.5164 | 12.0 | 2256 | 23.7161 |
| 31.7017 | 13.0 | 2444 | 24.5315 |
| 31.0607 | 14.0 | 2632 | 23.3144 |
| 30.4122 | 15.0 | 2820 | 24.2323 |
| 29.2982 | 16.0 | 3008 | 24.2874 |
| 28.2252 | 17.0 | 3196 | 23.9742 |
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