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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-ES-10 |
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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/8420vo52) |
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# qwen2.5-0.5b-expo-DPO-ES-10 |
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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: 21.3539 |
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- Logps: -79.7115 |
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- Logits: -0.5475 |
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- Objective: 20.4532 |
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- Dpo Loss: 20.4532 |
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- Regularize: 20.4532 |
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- Ranking Simple: 0.5362 |
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- Ranking Idealized: 0.5212 |
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- Ranking Idealized Expo: 0.5212 |
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- Wo Beta: 6.6867 |
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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: 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: 5 |
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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 | Wo Beta | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|:-------:| |
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| 2.0094 | 0.1417 | 50 | 3.1068 | -90.6242 | -1.4592 | 3.0980 | 3.0980 | 3.0980 | 0.5259 | 0.5212 | 0.5212 | 7.7179 | |
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| 5.9165 | 0.2834 | 100 | 7.1487 | -82.8335 | -1.4642 | 7.1399 | 7.1399 | 7.1399 | 0.5300 | 0.5212 | 0.5212 | 7.4498 | |
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| 9.9617 | 0.4251 | 150 | 11.8998 | -83.0745 | -1.3437 | 11.3536 | 11.3536 | 11.3536 | 0.5305 | 0.5212 | 0.5212 | 7.2609 | |
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| 12.4724 | 0.5668 | 200 | 17.0987 | -79.9360 | -1.3880 | 16.0617 | 16.0617 | 16.0617 | 0.5300 | 0.5212 | 0.5212 | 7.2290 | |
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| 13.2936 | 0.7085 | 250 | 18.5309 | -77.3150 | -1.3641 | 17.7971 | 17.7971 | 17.7971 | 0.5342 | 0.5212 | 0.5212 | 7.2078 | |
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| 11.5204 | 0.8503 | 300 | 19.4344 | -76.9798 | -0.9941 | 18.7017 | 18.7017 | 18.7017 | 0.5357 | 0.5212 | 0.5212 | 7.0136 | |
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| 11.3717 | 0.9920 | 350 | 20.3959 | -76.1623 | -1.0426 | 19.0398 | 19.0398 | 19.0398 | 0.5409 | 0.5212 | 0.5212 | 7.0261 | |
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| 7.0971 | 1.1337 | 400 | 21.9279 | -76.1458 | -0.6236 | 21.6902 | 21.6902 | 21.6902 | 0.5388 | 0.5212 | 0.5212 | 7.1227 | |
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| 7.5725 | 1.2754 | 450 | 20.9480 | -76.3924 | -0.8352 | 20.3853 | 20.3853 | 20.3853 | 0.5373 | 0.5212 | 0.5212 | 6.8500 | |
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| 7.6466 | 1.4171 | 500 | 20.9821 | -80.7806 | -0.7483 | 20.2651 | 20.2651 | 20.2651 | 0.5326 | 0.5212 | 0.5212 | 6.8824 | |
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| 6.9565 | 1.5588 | 550 | 21.3506 | -80.2051 | -0.6148 | 20.5661 | 20.5661 | 20.5661 | 0.5383 | 0.5212 | 0.5212 | 6.6513 | |
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| 6.7183 | 1.7005 | 600 | 21.1265 | -78.5344 | -0.6067 | 20.0027 | 20.0027 | 20.0027 | 0.5367 | 0.5212 | 0.5212 | 6.6768 | |
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| 6.9931 | 1.8422 | 650 | 22.2083 | -77.6509 | -0.5872 | 21.4455 | 21.4455 | 21.4455 | 0.5383 | 0.5212 | 0.5212 | 6.8190 | |
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| 6.1685 | 1.9839 | 700 | 22.3607 | -77.1493 | -0.5436 | 21.5512 | 21.5512 | 21.5512 | 0.5404 | 0.5212 | 0.5212 | 6.7299 | |
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| 3.4811 | 2.1256 | 750 | 21.8349 | -78.9312 | -0.7313 | 21.1379 | 21.1379 | 21.1379 | 0.5424 | 0.5212 | 0.5212 | 6.8213 | |
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| 3.3995 | 2.2674 | 800 | 21.3539 | -79.7115 | -0.5475 | 20.4532 | 20.4532 | 20.4532 | 0.5362 | 0.5212 | 0.5212 | 6.6867 | |
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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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