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cimphony-paper
aliREA/cimphony-paper
cimphony-paper is a machine learning model from aliREA. 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
- Aug 2, 2025
- Updated
- Aug 2, 2025
- SHA
- 6840bf63
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. -->
cimphony-paper
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2077
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: 0.0002
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 18
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.326 | 1.0 | 4 | 0.1772 |
| 0.141 | 2.0 | 8 | 0.1456 |
| 0.0868 | 3.0 | 12 | 0.1418 |
| 0.0518 | 4.0 | 16 | 0.1489 |
| 0.0278 | 5.0 | 20 | 0.1659 |
| 0.0151 | 6.0 | 24 | 0.1805 |
| 0.0092 | 7.0 | 28 | 0.1959 |
| 0.0064 | 8.0 | 32 | 0.2051 |
| 0.0052 | 9.0 | 36 | 0.2073 |
| 0.0048 | 10.0 | 40 | 0.2077 |
Framework versions
- PEFT 0.10.0
- Transformers 4.41.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 2, 2025
- Updated
- Aug 2, 2025