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Ministral-8B-Instruct-raccis
raulgdp/Ministral-8B-Instruct-raccis
Ministral-8B-Instruct-raccis is a machine learning model from raulgdp. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- May 15, 2025
- Updated
- May 19, 2025
- SHA
- ad1ee8b0
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. -->
Ministral-8B-Instruct-raccis
This model is a fine-tuned version of mistralai/Ministral-8B-Instruct-2410 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1830
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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2547 | 1.7336 | 100 | 2.3270 |
| 2.1866 | 3.4541 | 200 | 2.2232 |
| 2.0063 | 5.1747 | 300 | 2.1858 |
| 1.9367 | 6.9083 | 400 | 2.1675 |
| 1.88 | 8.6288 | 500 | 2.1830 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- May 15, 2025
- Updated
- May 19, 2025