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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-L2EXPO-ES-0.01 |
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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/8q1vl3fv) |
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# qwen2.5-0.5b-expo-L2EXPO-ES-0.01 |
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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: 0.3975 |
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- Logps: -123.3866 |
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- Logits: -2.2621 |
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- Objective: 0.3953 |
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- Dpo Loss: 0.6769 |
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- Regularize: 0.3953 |
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- Ranking Simple: 0.5740 |
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- Ranking Idealized: 0.8732 |
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- Ranking Idealized Expo: 0.5321 |
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- Wo Beta: 23.6726 |
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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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| 0.4144 | 0.1417 | 50 | 0.4116 | -92.3444 | -1.6667 | 0.4097 | 0.6906 | 0.4097 | 0.5290 | 0.8732 | 0.5321 | 17.6306 | |
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| 0.394 | 0.2834 | 100 | 0.4078 | -115.8757 | -2.0312 | 0.4074 | 0.6863 | 0.4074 | 0.5399 | 0.8732 | 0.5321 | 22.1058 | |
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| 0.3504 | 0.4251 | 150 | 0.4044 | -123.1670 | -2.0505 | 0.4018 | 0.6803 | 0.4018 | 0.5719 | 0.8732 | 0.5321 | 23.5660 | |
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| 0.3135 | 0.5668 | 200 | 0.4006 | -121.6031 | -2.1409 | 0.3974 | 0.6781 | 0.3974 | 0.5621 | 0.8732 | 0.5321 | 23.0977 | |
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| 0.2807 | 0.7085 | 250 | 0.4043 | -122.1639 | -2.3711 | 0.4010 | 0.6790 | 0.4010 | 0.5600 | 0.8732 | 0.5321 | 23.6688 | |
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| 0.2532 | 0.8503 | 300 | 0.3975 | -123.3866 | -2.2621 | 0.3953 | 0.6769 | 0.3953 | 0.5740 | 0.8732 | 0.5321 | 23.6726 | |
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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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