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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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- alignment-handbook |
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- ndcg |
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- trl |
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- expo |
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- generated_from_trainer |
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- trl |
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- expo |
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- generated_from_trainer |
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datasets: |
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- hZzy/train_pairwise |
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model-index: |
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- name: qwen2.5-0.5b-expo-DPO-ES2-0.1 |
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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/vy4xlg1g) |
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# qwen2.5-0.5b-expo-DPO-ES2-0.1 |
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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 the hZzy/train_pairwise dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6808 |
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- Logps: -90.9674 |
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- Logits: -1.6164 |
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- Objective: 0.6836 |
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- Dpo Loss: 0.6836 |
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- Regularize: 0.6836 |
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- Ranking Simple: 0.5331 |
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- Ranking Idealized: 0.6030 |
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- Ranking Idealized Expo: 0.5223 |
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- Wo Beta: 7.8643 |
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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: 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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| 0.689 | 0.1417 | 50 | 0.6875 | -90.0815 | -1.4869 | 0.6892 | 0.6892 | 0.6892 | 0.5259 | 0.6030 | 0.5223 | 7.8857 | |
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| 0.6673 | 0.2834 | 100 | 0.6808 | -90.9674 | -1.6164 | 0.6836 | 0.6836 | 0.6836 | 0.5331 | 0.6030 | 0.5223 | 7.8643 | |
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| 0.6376 | 0.4251 | 150 | 0.6785 | -94.6386 | -1.6873 | 0.6833 | 0.6833 | 0.6833 | 0.5342 | 0.6030 | 0.5223 | 8.1745 | |
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| 0.5955 | 0.5668 | 200 | 0.6808 | -100.2786 | -1.8583 | 0.6818 | 0.6818 | 0.6818 | 0.5342 | 0.6030 | 0.5223 | 7.9037 | |
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| 0.5623 | 0.7085 | 250 | 0.6757 | -97.3034 | -1.9407 | 0.6757 | 0.6757 | 0.6757 | 0.5362 | 0.6030 | 0.5223 | 7.9161 | |
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| 0.5255 | 0.8503 | 300 | 0.7037 | -102.4820 | -2.0313 | 0.7119 | 0.7119 | 0.7119 | 0.5352 | 0.6030 | 0.5223 | 8.7956 | |
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| 0.4939 | 0.9920 | 350 | 0.6897 | -102.1435 | -1.9358 | 0.6916 | 0.6916 | 0.6916 | 0.5419 | 0.6030 | 0.5223 | 8.3961 | |
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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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