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results
enuma-elis/results
results is a machine learning model from enuma-elis. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Oct 3, 2025
- Updated
- Oct 4, 2025
- SHA
- f1221262
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. -->
results
This model is a fine-tuned version of Linq-AI-Research/Linq-Embed-Mistral on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2908
- Accuracy: 0.9548
- F1: 0.9543
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.2148 | 400 | 0.2494 | 0.9220 | 0.9114 |
| 0.3084 | 0.4296 | 800 | 0.2131 | 0.9337 | 0.9289 |
| 0.226 | 0.6445 | 1200 | 0.2043 | 0.9471 | 0.9455 |
| 0.1898 | 0.8593 | 1600 | 0.1871 | 0.9479 | 0.9462 |
| 0.1673 | 1.0741 | 2000 | 0.2143 | 0.9488 | 0.9485 |
| 0.1673 | 1.2889 | 2400 | 0.2328 | 0.9542 | 0.9543 |
| 0.1287 | 1.5038 | 2800 | 0.2321 | 0.9527 | 0.9520 |
| 0.1216 | 1.7186 | 3200 | 0.1918 | 0.9546 | 0.9546 |
| 0.1303 | 1.9334 | 3600 | 0.1966 | 0.9542 | 0.9534 |
| 0.0937 | 2.1482 | 4000 | 0.2378 | 0.9554 | 0.9554 |
| 0.0937 | 2.3631 | 4400 | 0.2612 | 0.9554 | 0.9551 |
| 0.0637 | 2.5779 | 4800 | 0.2719 | 0.9552 | 0.9551 |
| 0.0544 | 2.7927 | 5200 | 0.2895 | 0.9549 | 0.9552 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.0
- Pytorch 2.4.1+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Oct 3, 2025
- Updated
- Oct 4, 2025