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qwen_ecthr_a
dawningz/qwen_ecthr_a
qwen_ecthr_a is a machine learning model from dawningz. 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
- Dec 1, 2025
- Updated
- Dec 2, 2025
- SHA
- 67785dc1
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. -->
qwen_ecthr_a
This model is a fine-tuned version of Qwen/Qwen3-Embedding-0.6B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1933
- F1 Micro: 0.5891
- F1 Macro: 0.4718
- Accuracy: 0.41
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: 8
- eval_batch_size: 8
- seed: 42
- 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_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy |
|---|---|---|---|---|---|---|
| 0.168 | 1.0 | 1125 | 0.2055 | 0.5805 | 0.4668 | 0.393 |
| 0.1594 | 2.0 | 2250 | 0.1950 | 0.5734 | 0.4583 | 0.403 |
| 0.1677 | 3.0 | 3375 | 0.1933 | 0.5891 | 0.4718 | 0.41 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Dec 1, 2025
- Updated
- Dec 2, 2025