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--- |
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license: other |
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license_name: qwen |
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license_link: https://huggingface.co./Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE |
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datasets: |
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- Magpie-Align/Magpie-Qwen2.5-Pro-300K-Filtered |
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base_model: |
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- Qwen/Qwen2.5-7B-Instruct |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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--- |
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# cybertron-v4-qw7B-MGS |
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Introducing: **cybertron-v4** based on Qwen2.5 7B |
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SFT over Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1 |
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## Training procedure |
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1 Epoch as usual. |
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7405 | 0.0007 | 1 | 0.5760 | |
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| 0.6146 | 0.0502 | 71 | 0.5045 | |
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| 0.5908 | 0.1003 | 142 | 0.4930 | |
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| 0.5669 | 0.1505 | 213 | 0.4854 | |
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| 0.5575 | 0.2007 | 284 | 0.4811 | |
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| 0.535 | 0.2508 | 355 | 0.4765 | |
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| 0.5161 | 0.3010 | 426 | 0.4736 | |
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| 0.5268 | 0.3511 | 497 | 0.4726 | |
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| 0.5119 | 0.4013 | 568 | 0.4701 | |
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| 0.5329 | 0.4515 | 639 | 0.4687 | |
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| 0.5167 | 0.5016 | 710 | 0.4673 | |
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| 0.5105 | 0.5518 | 781 | 0.4660 | |
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| 0.5203 | 0.6020 | 852 | 0.4653 | |
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| 0.5035 | 0.6521 | 923 | 0.4646 | |
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| 0.4903 | 0.7023 | 994 | 0.4641 | |
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| 0.5031 | 0.7525 | 1065 | 0.4628 | |
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| 0.5147 | 0.8026 | 1136 | 0.4629 | |
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| 0.5037 | 0.8528 | 1207 | 0.4620 | |
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| 0.5029 | 0.9029 | 1278 | 0.4620 | |
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| 0.492 | 0.9531 | 1349 | 0.4621 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
