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--- |
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license: apache-2.0 |
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT |
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tags: |
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- trl |
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- expo |
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- generated_from_trainer |
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model-index: |
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- name: qwen2.5-0.5b-expo-DPO-noES-0.1 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/5jjpvn9b) |
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# qwen2.5-0.5b-expo-DPO-noES-0.1 |
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This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8493 |
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- Logps: -132.8567 |
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- Logits: -1.8165 |
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- Objective: 0.8653 |
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- Dpo Loss: 0.8653 |
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- Regularize: 0.8653 |
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- Ranking Simple: 0.5347 |
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- Wo Beta: 10.9418 |
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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: 1e-06 |
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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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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 12 |
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- total_train_batch_size: 144 |
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- total_eval_batch_size: 12 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Wo Beta | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-------:| |
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| 0.6719 | 0.1417 | 50 | 0.6856 | -89.6776 | -1.4697 | 0.6879 | 0.6879 | 0.6879 | 0.5269 | 7.9221 | |
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| 0.6459 | 0.2834 | 100 | 0.6765 | -92.9954 | -1.6511 | 0.6793 | 0.6793 | 0.6793 | 0.5347 | 7.8727 | |
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| 0.5993 | 0.4251 | 150 | 0.6771 | -95.2729 | -1.6963 | 0.6805 | 0.6805 | 0.6805 | 0.5347 | 8.2155 | |
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| 0.5557 | 0.5668 | 200 | 0.6858 | -115.4680 | -1.8150 | 0.6866 | 0.6866 | 0.6866 | 0.5295 | 7.9607 | |
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| 0.5428 | 0.7085 | 250 | 0.6745 | -102.5668 | -1.8495 | 0.6741 | 0.6741 | 0.6741 | 0.5367 | 7.9891 | |
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| 0.4987 | 0.8503 | 300 | 0.7119 | -110.0949 | -1.9277 | 0.7203 | 0.7203 | 0.7203 | 0.5373 | 8.9267 | |
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| 0.4599 | 0.9920 | 350 | 0.6886 | -104.9833 | -1.8474 | 0.6912 | 0.6912 | 0.6912 | 0.5352 | 8.3749 | |
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| 0.3498 | 1.1337 | 400 | 0.7463 | -115.0889 | -1.8807 | 0.7518 | 0.7518 | 0.7518 | 0.5518 | 9.5505 | |
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| 0.3361 | 1.2754 | 450 | 0.7563 | -116.8004 | -1.8356 | 0.7673 | 0.7673 | 0.7673 | 0.5419 | 9.7252 | |
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| 0.3584 | 1.4171 | 500 | 0.7635 | -117.5167 | -1.8626 | 0.7695 | 0.7695 | 0.7695 | 0.5419 | 9.6319 | |
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| 0.3343 | 1.5588 | 550 | 0.7698 | -123.3863 | -1.8209 | 0.7814 | 0.7814 | 0.7814 | 0.5352 | 9.8258 | |
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| 0.3105 | 1.7005 | 600 | 0.7679 | -119.8231 | -1.7866 | 0.7761 | 0.7761 | 0.7761 | 0.5383 | 9.8031 | |
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| 0.3412 | 1.8422 | 650 | 0.7750 | -122.2944 | -1.8323 | 0.7848 | 0.7848 | 0.7848 | 0.5383 | 9.9494 | |
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| 0.3156 | 1.9839 | 700 | 0.8013 | -126.3939 | -1.8338 | 0.8139 | 0.8139 | 0.8139 | 0.5378 | 10.3247 | |
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| 0.2183 | 2.1256 | 750 | 0.8467 | -131.1257 | -1.7999 | 0.8604 | 0.8604 | 0.8604 | 0.5352 | 10.8931 | |
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| 0.2338 | 2.2674 | 800 | 0.8480 | -132.1160 | -1.8070 | 0.8641 | 0.8641 | 0.8641 | 0.5352 | 10.9810 | |
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| 0.2015 | 2.4091 | 850 | 0.8572 | -133.3811 | -1.8018 | 0.8720 | 0.8720 | 0.8720 | 0.5378 | 11.0252 | |
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| 0.2348 | 2.5508 | 900 | 0.8530 | -133.6796 | -1.8114 | 0.8675 | 0.8675 | 0.8675 | 0.5378 | 10.9423 | |
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| 0.2268 | 2.6925 | 950 | 0.8525 | -133.2829 | -1.8136 | 0.8684 | 0.8684 | 0.8684 | 0.5336 | 10.9785 | |
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| 0.2198 | 2.8342 | 1000 | 0.8493 | -132.8809 | -1.8167 | 0.8652 | 0.8652 | 0.8652 | 0.5342 | 10.9383 | |
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| 0.2221 | 2.9759 | 1050 | 0.8493 | -132.8567 | -1.8165 | 0.8653 | 0.8653 | 0.8653 | 0.5347 | 10.9418 | |
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### Framework versions |
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- Transformers 4.42.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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