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LoLlama3.2-1B-lora-50ep
avinot/LoLlama3.2-1B-lora-50ep
LoLlama3.2-1B-lora-50ep is a machine learning model from avinot. 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. The card lists the license as llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Apr 11, 2025
- Updated
- Apr 11, 2025
- SHA
- b1fc19d7
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. -->
LoLlama3.2-1B-lora-50ep
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3046
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1901 | 1.0 | 847 | 2.9623 |
| 2.8573 | 2.0 | 1694 | 2.8494 |
| 2.7574 | 3.0 | 2541 | 2.7774 |
| 2.7042 | 4.0 | 3388 | 2.7245 |
| 2.6395 | 5.0 | 4235 | 2.6837 |
| 2.5853 | 6.0 | 5082 | 2.6469 |
| 2.5659 | 7.0 | 5929 | 2.6132 |
| 2.5259 | 8.0 | 6776 | 2.5871 |
| 2.4823 | 9.0 | 7623 | 2.5630 |
| 2.4641 | 10.0 | 8470 | 2.5402 |
| 2.4462 | 11.0 | 9317 | 2.5189 |
| 2.4094 | 12.0 | 10164 | 2.5011 |
| 2.3841 | 13.0 | 11011 | 2.4873 |
| 2.3452 | 14.0 | 11858 | 2.4717 |
| 2.3421 | 15.0 | 12705 | 2.4554 |
| 2.3139 | 16.0 | 13552 | 2.4428 |
| 2.2926 | 17.0 | 14399 | 2.4322 |
| 2.2811 | 18.0 | 15246 | 2.4227 |
| 2.2511 | 19.0 | 16093 | 2.4116 |
| 2.2482 | 20.0 | 16940 | 2.4009 |
| 2.2302 | 21.0 | 17787 | 2.3951 |
| 2.2247 | 22.0 | 18634 | 2.3844 |
| 2.2074 | 23.0 | 19481 | 2.3793 |
| 2.1883 | 24.0 | 20328 | 2.3714 |
| 2.1753 | 25.0 | 21175 | 2.3673 |
| 2.1767 | 26.0 | 22022 | 2.3583 |
| 2.1454 | 27.0 | 22869 | 2.3511 |
| 2.1383 | 28.0 | 23716 | 2.3510 |
| 2.1409 | 29.0 | 24563 | 2.3435 |
| 2.1369 | 30.0 | 25410 | 2.3419 |
| 2.1175 | 31.0 | 26257 | 2.3340 |
| 2.1096 | 32.0 | 27104 | 2.3332 |
| 2.0996 | 33.0 | 27951 | 2.3299 |
| 2.0994 | 34.0 | 28798 | 2.3244 |
| 2.0936 | 35.0 | 29645 | 2.3205 |
| 2.0688 | 36.0 | 30492 | 2.3200 |
| 2.0898 | 37.0 | 31339 | 2.3184 |
| 2.0695 | 38.0 | 32186 | 2.3145 |
| 2.0765 | 39.0 | 33033 | 2.3139 |
| 2.0651 | 40.0 | 33880 | 2.3155 |
| 2.0497 | 41.0 | 34727 | 2.3105 |
| 2.0614 | 42.0 | 35574 | 2.3077 |
| 2.0519 | 43.0 | 36421 | 2.3067 |
| 2.0493 | 44.0 | 37268 | 2.3071 |
| 2.044 | 45.0 | 38115 | 2.3046 |
| 2.0491 | 46.0 | 38962 | 2.3054 |
| 2.052 | 47.0 | 39809 | 2.3037 |
| 2.0526 | 48.0 | 40656 | 2.3049 |
| 2.0319 | 49.0 | 41503 | 2.3044 |
| 2.0274 | 50.0 | 42350 | 2.3046 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- peft
- License
- llama3.2
- Created
- Apr 11, 2025
- Updated
- Apr 11, 2025