metadata
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Qwen/Qwen1.5-32B-Chat
model-index:
- name: qwen_30B_brevity_tuned
results: []
qwen_30B_brevity_tuned
This model is a fine-tuned version of Qwen/Qwen1.5-32B-Chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0879
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2559 | 1.0 | 10 | 3.1422 |
| 3.0615 | 2.0 | 20 | 2.8362 |
| 2.6919 | 3.0 | 30 | 2.4366 |
| 2.2914 | 4.0 | 40 | 2.0373 |
| 1.8444 | 5.0 | 50 | 1.5040 |
| 1.2158 | 6.0 | 60 | 0.8004 |
| 0.568 | 7.0 | 70 | 0.3102 |
| 0.2405 | 8.0 | 80 | 0.1604 |
| 0.1385 | 9.0 | 90 | 0.1139 |
| 0.1012 | 10.0 | 100 | 0.0966 |
| 0.0828 | 11.0 | 110 | 0.0920 |
| 0.0742 | 12.0 | 120 | 0.0918 |
| 0.0652 | 13.0 | 130 | 0.0914 |
| 0.0584 | 14.0 | 140 | 0.0906 |
| 0.05 | 15.0 | 150 | 0.0891 |
| 0.0439 | 16.0 | 160 | 0.0885 |
| 0.0368 | 17.0 | 170 | 0.0880 |
| 0.0317 | 18.0 | 180 | 0.0866 |
| 0.0256 | 19.0 | 190 | 0.0857 |
| 0.0213 | 20.0 | 200 | 0.0850 |
| 0.0176 | 21.0 | 210 | 0.0849 |
| 0.0153 | 22.0 | 220 | 0.0850 |
| 0.0136 | 23.0 | 230 | 0.0855 |
| 0.0124 | 24.0 | 240 | 0.0860 |
| 0.0118 | 25.0 | 250 | 0.0866 |
| 0.0113 | 26.0 | 260 | 0.0870 |
| 0.0109 | 27.0 | 270 | 0.0874 |
| 0.0107 | 28.0 | 280 | 0.0878 |
| 0.0103 | 29.0 | 290 | 0.0879 |
| 0.0101 | 30.0 | 300 | 0.0879 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1