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incar-nlu-qwen1.5b-v3
marcuschill1823/incar-nlu-qwen1.5b-v3
incar-nlu-qwen1.5b-v3 is a machine learning model from marcuschill1823. 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 8, 2026
- Updated
- Jun 9, 2026
- SHA
- e5ee5721
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. -->
incar-nlu-qwen1.5b-v3
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the incar_nlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.1962
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2195 | 0.1795 | 200 | 0.2569 |
| 0.2411 | 0.3590 | 400 | 0.2332 |
| 0.2527 | 0.5385 | 600 | 0.2226 |
| 0.1987 | 0.7180 | 800 | 0.2163 |
| 0.1872 | 0.8975 | 1000 | 0.2107 |
| 0.1624 | 1.0770 | 1200 | 0.2117 |
| 0.1873 | 1.2565 | 1400 | 0.2109 |
| 0.1585 | 1.4359 | 1600 | 0.2051 |
| 0.1597 | 1.6154 | 1800 | 0.2044 |
| 0.1674 | 1.7949 | 2000 | 0.1997 |
| 0.169 | 1.9744 | 2200 | 0.1962 |
| 0.1053 | 2.1539 | 2400 | 0.2097 |
| 0.1151 | 2.3334 | 2600 | 0.2081 |
| 0.1071 | 2.5129 | 2800 | 0.2073 |
| 0.1077 | 2.6924 | 3000 | 0.2072 |
| 0.1113 | 2.8719 | 3200 | 0.2069 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.10.0+cu128
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- License
- apache-2.0
- Created
- Jun 8, 2026
- Updated
- Jun 9, 2026