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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-EXPERIMENT-10-5e6 |
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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/5jlf70he) |
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# qwen2.5-0.5b-expo-DPO-EXPERIMENT-10-5e6 |
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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: 15.2566 |
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- Logps: -80.3981 |
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- Logits: -1.0046 |
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- Objective: 15.1445 |
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- Dpo Loss: 15.1445 |
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- Regularize: 15.1445 |
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- Ranking Simple: 0.5134 |
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- Ranking Idealized: 0.5093 |
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- Ranking Idealized Expo: 0.5093 |
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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: 5e-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: 6 |
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- gradient_accumulation_steps: 12 |
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- total_train_batch_size: 288 |
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- total_eval_batch_size: 24 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:| |
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| 9.5723 | 0.2834 | 50 | 9.2586 | -89.6862 | -1.4979 | 9.6501 | 9.6501 | 9.6501 | 0.5134 | 0.5093 | 0.5093 | |
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| 9.8364 | 0.5668 | 100 | 15.5453 | -79.4201 | -1.3475 | 15.5409 | 15.5409 | 15.5409 | 0.5176 | 0.5093 | 0.5093 | |
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| 8.8451 | 0.8503 | 150 | 16.6626 | -82.1459 | -1.1122 | 16.5626 | 16.5626 | 16.5626 | 0.5145 | 0.5093 | 0.5093 | |
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| 3.8083 | 1.1337 | 200 | 16.0519 | -81.6751 | -1.0874 | 16.3240 | 16.3240 | 16.3240 | 0.5186 | 0.5093 | 0.5093 | |
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| 3.6019 | 1.4171 | 250 | 15.8144 | -81.5609 | -0.9933 | 15.7679 | 15.7679 | 15.7679 | 0.5176 | 0.5093 | 0.5093 | |
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| 2.1682 | 1.7005 | 300 | 15.3824 | -80.3329 | -1.0036 | 15.2004 | 15.2004 | 15.2004 | 0.5114 | 0.5093 | 0.5093 | |
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| 2.703 | 1.9839 | 350 | 15.2566 | -80.3981 | -1.0046 | 15.1445 | 15.1445 | 15.1445 | 0.5134 | 0.5093 | 0.5093 | |
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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 2.19.1 |
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- Tokenizers 0.19.1 |
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