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