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mistral-mixlora
twanghcmut/mistral-mixlora
mistral-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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Nov 20, 2025
- Updated
- Nov 20, 2025
- SHA
- 05dee2f2
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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. -->
mistral-mixlora
This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5970
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 |
|---|---|---|---|
| 1.7845 | 1.0 | 13 | 1.6758 |
| 1.6831 | 2.0 | 26 | 1.3898 |
| 1.3904 | 3.0 | 39 | 1.1781 |
| 1.1167 | 4.0 | 52 | 1.1148 |
| 1.0526 | 5.0 | 65 | 1.1112 |
| 1.0133 | 6.0 | 78 | 1.1350 |
| 0.8554 | 7.0 | 91 | 1.2262 |
| 0.7009 | 8.0 | 104 | 1.3168 |
| 0.5859 | 9.0 | 117 | 1.5106 |
| 0.3654 | 10.0 | 130 | 1.5970 |
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
- mistral
- License
- apache-2.0
- Created
- Nov 20, 2025
- Updated
- Nov 20, 2025