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foamQwen3-8B
finalform/foamQwen3-8B
foamQwen3-8B is a machine learning model from finalform. 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
- Jul 26, 2025
- Updated
- Aug 2, 2025
- SHA
- c1a9179c
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. -->
factory_qwen_results
This model is a fine-tuned version of Qwen/Qwen3-8B on the train dataset. It achieves the following results on the evaluation set:
- Loss: 0.2496
- Accuracy: 0.9448
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- total_eval_batch_size: 6
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 9.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3591 | 1.0 | 42 | 0.3988 | 0.9035 |
| 0.2673 | 2.0 | 84 | 0.3260 | 0.9197 |
| 0.2425 | 3.0 | 126 | 0.2898 | 0.9289 |
| 0.2069 | 4.0 | 168 | 0.2659 | 0.9346 |
| 0.138 | 5.0 | 210 | 0.2525 | 0.9391 |
| 0.1251 | 6.0 | 252 | 0.2497 | 0.9431 |
| 0.1072 | 7.0 | 294 | 0.2475 | 0.9439 |
| 0.1059 | 8.0 | 336 | 0.2483 | 0.9446 |
| 0.1073 | 8.7904 | 369 | 0.2496 | 0.9448 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- Jul 26, 2025
- Updated
- Aug 2, 2025