Downloads · 30 days
6
22% of all-time downloads
mistral-qlora_v2
emmalybaek/mistral-qlora_v2
mistral-qlora_v2 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. --
All-time downloads
27
Public
Repo size
96.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors13.6 MB · 84%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- e05cb631
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_v2
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: 1.2705
- Mean Token Accuracy: 0.6893
- 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 |
|---|---|---|---|---|---|
| 1.4786 | 0.3077 | 8 | 1.3624 | 0.6773 | 896294 |
| 1.3292 | 0.6154 | 16 | 1.3184 | 0.6833 | 896294 |
| 1.3818 | 0.9231 | 24 | 1.2928 | 0.6865 | 896294 |
| 1.2772 | 1.2308 | 32 | 1.2793 | 0.6878 | 896294 |
| 1.3531 | 1.5385 | 40 | 1.2725 | 0.6890 | 896294 |
| 1.2099 | 1.8462 | 48 | 1.2705 | 0.6893 | 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