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s2-3-mistral7b
nkerr/s2-3-mistral7b
s2-3-mistral7b is a machine learning model from nkerr. 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
- Jun 6, 2025
- Updated
- Jun 6, 2025
- SHA
- d000d85c
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. -->
s1-2-mistral7b
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3101
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: 9
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 36
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0792 | 0.2094 | 100 | 0.3145 |
| 0.065 | 0.4188 | 200 | 0.3112 |
| 0.0629 | 0.6283 | 300 | 0.3048 |
| 0.061 | 0.8377 | 400 | 0.3044 |
| 0.0588 | 1.0461 | 500 | 0.3087 |
| 0.057 | 1.2555 | 600 | 0.3077 |
| 0.0569 | 1.4649 | 700 | 0.3057 |
| 0.0563 | 1.6743 | 800 | 0.3076 |
| 0.0557 | 1.8838 | 900 | 0.3066 |
| 0.0539 | 2.0921 | 1000 | 0.3074 |
| 0.0527 | 2.3016 | 1100 | 0.3088 |
| 0.054 | 2.5110 | 1200 | 0.3088 |
| 0.0527 | 2.7204 | 1300 | 0.3102 |
| 0.0529 | 2.9298 | 1400 | 0.3101 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Jun 6, 2025
- Updated
- Jun 6, 2025