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DPO-Shift-Qwen-2-7B-Ultrafeedback-fixed-1.0
NoManDeRY/DPO-Shift-Qwen-2-7B-Ultrafeedback-fixed-1.0
DPO-Shift-Qwen-2-7B-Ultrafeedback-fixed-1.0 is a text generation model from NoManDeRY. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Feb 17, 2025
- Updated
- Feb 18, 2025
- SHA
- 6578f0ca
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
qwen-2-7b-dpo-ultrafeedback-5e-7-SFTed-paged_adamw_32bit-fixed-1.0
This is a model released from the preprint: DPO-Shift: Shifting the Distribution of Direct Preference Optimization. Please refer to our repository for more details.
This model is a fine-tuned version of NoManDeRY/DPO-Shift-Qwen-2-7B-UltraChat200K-SFT on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.5603
- Rewards/chosen: -0.6046
- Rewards/rejected: -1.1004
- Dpo Lambda: 1.0
- Rewards/accuracies: 0.7381
- Rewards/margins: 0.4957
- Logps/rejected: -416.7722
- Logps/chosen: -393.7754
- Logits/rejected: -1.0300
- Logits/chosen: -0.9521
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Dpo Lambda | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6874 | 0.1047 | 50 | 0.6866 | 0.0419 | 0.0289 | 1.0 | 0.6706 | 0.0129 | -303.8425 | -329.1250 | -1.2956 | -1.1731 |
| 0.6513 | 0.2093 | 100 | 0.6640 | 0.0547 | -0.0154 | 1.0 | 0.7302 | 0.0702 | -308.2813 | -327.8370 | -1.2875 | -1.1603 |
| 0.6568 | 0.3140 | 150 | 0.6347 | -0.0883 | -0.2516 | 1.0 | 0.7222 | 0.1634 | -331.9008 | -342.1388 | -1.2942 | -1.1718 |
| 0.6272 | 0.4186 | 200 | 0.6070 | -0.2437 | -0.5057 | 1.0 | 0.7143 | 0.2620 | -357.3109 | -357.6843 | -1.2251 | -1.1152 |
| 0.5866 | 0.5233 | 250 | 0.5879 | -0.3786 | -0.7293 | 1.0 | 0.7302 | 0.3506 | -379.6648 | -371.1762 | -1.1431 | -1.0513 |
| 0.5892 | 0.6279 | 300 | 0.5753 | -0.4577 | -0.8757 | 1.0 | 0.7421 | 0.4180 | -394.3050 | -379.0780 | -1.0982 | -1.0094 |
| 0.5996 | 0.7326 | 350 | 0.5656 | -0.5648 | -1.0341 | 1.0 | 0.7460 | 0.4693 | -410.1455 | -389.7921 | -1.0571 | -0.9754 |
| 0.5734 | 0.8373 | 400 | 0.5625 | -0.5734 | -1.0606 | 1.0 | 0.7381 | 0.4872 | -412.8011 | -390.6537 | -1.0352 | -0.9564 |
| 0.5382 | 0.9419 | 450 | 0.5603 | -0.6046 | -1.1004 | 1.0 | 0.7381 | 0.4957 | -416.7722 | -393.7754 | -1.0300 | -0.9521 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Feb 17, 2025
- Updated
- Feb 18, 2025