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Spruteus/qwen_30B_brevity_tuned

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- library_name: transformers
 
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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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+
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+ # qwen_30B_brevity_tuned
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+
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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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+
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+ ## Model description
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+ More information needed
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+
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+ ## Intended uses & limitations
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+ More information needed
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+
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+ ## Training and evaluation data
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+ More information needed
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+
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+ ## Training procedure
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+
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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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+
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+ ### Training results
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+
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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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+
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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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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