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mistral-qlora_v1
emmalybaek/mistral-qlora_v1
mistral-qlora_v1 is a machine learning model from emmalybaek. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 7b647d68
Base models
Datasets
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-qlora_v1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2592
- Mean Token Accuracy: 0.6911
- Num Tokens: 896294
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Token Accuracy | Num Tokens |
|---|---|---|---|---|---|
| 1.2597 | 1.0 | 31 | 1.2732 | 0.6890 | 896294 |
| 1.2271 | 2.0 | 62 | 1.2592 | 0.6911 | 896294 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.8.0+cu126
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025