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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: unsloth/qwen2.5-coder-32b-instruct-bnb-4bit |
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tags: |
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- trl |
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- sft |
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- unsloth |
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- generated_from_trainer |
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model-index: |
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- name: Qwen-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps |
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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-coder-32B-Instruct_playpen_SFT_DFINAL_1.7K-steps |
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This model is a fine-tuned version of [unsloth/qwen2.5-coder-32b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-32b-instruct-bnb-4bit) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6435 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 7331 |
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- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 1700 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0006 | 0.0565 | 100 | 2.3866 | |
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| 0.001 | 0.1130 | 200 | 2.3386 | |
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| 0.0009 | 0.1695 | 300 | 2.4257 | |
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| 0.0007 | 0.2260 | 400 | 2.4474 | |
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| 0.001 | 0.2825 | 500 | 2.5487 | |
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| 0.0008 | 0.3390 | 600 | 2.5405 | |
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| 0.0009 | 0.3955 | 700 | 2.5610 | |
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| 0.0017 | 0.4520 | 800 | 2.5255 | |
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| 0.0008 | 0.5085 | 900 | 2.5441 | |
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| 0.0007 | 0.5650 | 1000 | 2.6643 | |
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| 0.0006 | 0.6215 | 1100 | 2.7327 | |
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| 0.0006 | 0.6780 | 1200 | 2.7778 | |
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| 0.0008 | 0.7345 | 1300 | 2.6578 | |
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| 0.0006 | 0.7910 | 1400 | 2.6902 | |
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| 0.001 | 0.8475 | 1500 | 2.6243 | |
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| 0.0009 | 0.9040 | 1600 | 2.6423 | |
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| 0.0008 | 0.9605 | 1700 | 2.6435 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.21.0 |
