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llama-mixlora
twanghcmut/llama-mixlora
llama-mixlora is a text generation model from twanghcmut. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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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. -->
llama-mixlora
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0766
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9748 | 1.0 | 647 | 0.9865 |
| 0.9212 | 2.0 | 1294 | 0.9762 |
| 0.9094 | 3.0 | 1941 | 0.9790 |
| 0.8838 | 4.0 | 2588 | 0.9947 |
| 0.815 | 5.0 | 3235 | 1.0066 |
| 0.8118 | 6.0 | 3882 | 1.0259 |
| 0.7635 | 7.0 | 4529 | 1.0519 |
| 0.7363 | 8.0 | 5176 | 1.0647 |
| 0.7229 | 9.0 | 5823 | 1.0735 |
| 0.7148 | 10.0 | 6470 | 1.0766 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Nov 19, 2025
- Updated
- Nov 20, 2025