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qwen3_4_20250810_1540
prl90777/qwen3_4_20250810_1540
qwen3_4_20250810_1540 is a machine learning model from prl90777. 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 10, 2025
- Updated
- Aug 10, 2025
- SHA
- ff99b194
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. -->
qwen3_4_20250810_1540
This model is a fine-tuned version of Qwen/Qwen3-4B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4485
- Map@3: 0.9108
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Map@3 |
|---|---|---|---|---|
| 18.0014 | 0.0598 | 20 | 1.5174 | 0.6987 |
| 10.6701 | 0.1196 | 40 | 0.9999 | 0.7962 |
| 7.6249 | 0.1794 | 60 | 0.8878 | 0.8231 |
| 6.7046 | 0.2392 | 80 | 0.8309 | 0.8358 |
| 5.9628 | 0.2990 | 100 | 0.6635 | 0.8675 |
| 5.3938 | 0.3587 | 120 | 0.7054 | 0.8613 |
| 4.7895 | 0.4185 | 140 | 0.5530 | 0.8877 |
| 4.8493 | 0.4783 | 160 | 0.5481 | 0.8944 |
| 4.3363 | 0.5381 | 180 | 0.5117 | 0.8993 |
| 4.2649 | 0.5979 | 200 | 0.5654 | 0.8960 |
| 4.0245 | 0.6577 | 220 | 0.4839 | 0.9053 |
| 4.4226 | 0.7175 | 240 | 0.4850 | 0.9103 |
| 3.9435 | 0.7773 | 260 | 0.4436 | 0.9176 |
| 3.6812 | 0.8371 | 280 | 0.4542 | 0.9135 |
| 3.8898 | 0.8969 | 300 | 0.4466 | 0.9129 |
| 3.9869 | 0.9567 | 320 | 0.4188 | 0.9211 |
| 3.371 | 1.0149 | 340 | 0.4492 | 0.9113 |
| 2.6116 | 1.0747 | 360 | 0.4368 | 0.9203 |
| 2.5455 | 1.1345 | 380 | 0.4300 | 0.9148 |
| 3.2972 | 1.1943 | 400 | 0.4485 | 0.9108 |
Framework versions
- PEFT 0.17.0
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- peft
- License
- apache-2.0
- Created
- Aug 10, 2025
- Updated
- Aug 10, 2025