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customs-classifier-model1
delpgiero/customs-classifier-model1
customs-classifier-model1 is a machine learning model from delpgiero. 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
- Feb 20, 2026
- Updated
- Feb 20, 2026
- SHA
- 9f9def22
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. -->
customs-classifier-model1
This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0491
- Accuracy: 0.9837
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 8.6828 | 0.2096 | 50 | 1.0808 | 0.7447 |
| 1.1761 | 0.4193 | 100 | 0.3601 | 0.8970 |
| 0.5759 | 0.6289 | 150 | 0.2304 | 0.9286 |
| 0.4480 | 0.8386 | 200 | 0.1634 | 0.9498 |
| 0.3433 | 1.0461 | 250 | 0.1386 | 0.9490 |
| 0.2805 | 1.2558 | 300 | 0.1368 | 0.9556 |
| 0.2085 | 1.4654 | 350 | 0.1242 | 0.9627 |
| 0.2029 | 1.6751 | 400 | 0.1033 | 0.9674 |
| 0.1771 | 1.8847 | 450 | 0.0664 | 0.9769 |
| 0.1202 | 2.0922 | 500 | 0.0654 | 0.9795 |
| 0.0885 | 2.3019 | 550 | 0.0617 | 0.9808 |
| 0.0818 | 2.5115 | 600 | 0.0548 | 0.9829 |
| 0.0769 | 2.7212 | 650 | 0.0503 | 0.9824 |
| 0.0606 | 2.9308 | 700 | 0.0491 | 0.9837 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- License
- other
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026