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---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen3-4B
tags:
- base_model:adapter:Qwen/Qwen3-4B
- lora
- transformers
model-index:
- name: qwen3_4_20250809
results: []
---
<!-- 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_20250809
This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4858
- Map@3: 0.9101
## 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 21.087 | 0.0623 | 20 | 1.4444 | 0.7169 |
| 9.8108 | 0.1246 | 40 | 1.1465 | 0.7859 |
| 7.6633 | 0.1868 | 60 | 0.9294 | 0.8218 |
| 7.0727 | 0.2491 | 80 | 0.7713 | 0.8514 |
| 6.1375 | 0.3114 | 100 | 0.6833 | 0.8680 |
| 5.8015 | 0.3737 | 120 | 0.6946 | 0.8675 |
| 4.9316 | 0.4360 | 140 | 0.6652 | 0.8726 |
| 5.0053 | 0.4982 | 160 | 0.6030 | 0.8796 |
| 4.5137 | 0.5605 | 180 | 0.5770 | 0.8903 |
| 4.4611 | 0.6228 | 200 | 0.6356 | 0.8779 |
| 4.8127 | 0.6851 | 220 | 0.5487 | 0.8906 |
| 4.5154 | 0.7474 | 240 | 0.5269 | 0.9004 |
| 3.9116 | 0.8097 | 260 | 0.5962 | 0.8855 |
| 4.3977 | 0.8719 | 280 | 0.4977 | 0.9028 |
| 3.6962 | 0.9342 | 300 | 0.4942 | 0.9084 |
| 3.2734 | 0.9965 | 320 | 0.4548 | 0.9119 |
| 3.2019 | 1.0561 | 340 | 0.4396 | 0.9157 |
| 3.1092 | 1.1183 | 360 | 0.5063 | 0.9056 |
| 3.0406 | 1.1806 | 380 | 0.4858 | 0.9101 |
### Framework versions
- PEFT 0.17.0
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4 |