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Llama-3.1-8B-Instruct-dpo-llama-1000
chchen/Llama-3.1-8B-Instruct-dpo-llama-1000
Llama-3.1-8B-Instruct-dpo-llama-1000 is a machine learning model from chchen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- May 19, 2025
- Updated
- May 19, 2025
- SHA
- a862bf0b
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. -->
Llama-3.1-8B-Instruct-dpo-llama-1000
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the answer_llama dataset. It achieves the following results on the evaluation set:
- Loss: 0.3077
- Rewards/chosen: 1.4814
- Rewards/rejected: -0.7600
- Rewards/accuracies: 0.8500
- Rewards/margins: 2.2414
- Logps/chosen: -7.6796
- Logps/rejected: -31.9936
- Logits/chosen: -0.2154
- Logits/rejected: -0.3106
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logits/chosen | Logits/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6815 | 0.8889 | 50 | 0.6707 | 0.0833 | 0.0353 | 0.6900 | 0.0480 | -21.6601 | -24.0398 | -0.4114 | -0.4792 |
| 0.5082 | 1.7778 | 100 | 0.4428 | 1.0308 | 0.1943 | 0.7900 | 0.8366 | -12.1855 | -22.4506 | -0.3559 | -0.4377 |
| 0.2979 | 2.6667 | 150 | 0.3215 | 1.3481 | -0.4170 | 0.8600 | 1.7651 | -9.0131 | -28.5637 | -0.2695 | -0.3655 |
| 0.2862 | 3.5556 | 200 | 0.3077 | 1.4814 | -0.7600 | 0.8500 | 2.2414 | -7.6796 | -31.9936 | -0.2154 | -0.3106 |
| 0.2747 | 4.4444 | 250 | 0.3184 | 1.4147 | -1.2445 | 0.8600 | 2.6592 | -8.3466 | -36.8385 | -0.1872 | -0.2879 |
| 0.2688 | 5.3333 | 300 | 0.3195 | 1.4469 | -1.2794 | 0.8500 | 2.7263 | -8.0242 | -37.1874 | -0.1714 | -0.2705 |
| 0.2047 | 6.2222 | 350 | 0.3630 | 1.3019 | -1.5956 | 0.8400 | 2.8975 | -9.4749 | -40.3495 | -0.1553 | -0.2578 |
| 0.2268 | 7.1111 | 400 | 0.3526 | 1.3609 | -1.6635 | 0.8500 | 3.0245 | -8.8842 | -41.0287 | -0.1452 | -0.2479 |
| 0.144 | 8.0 | 450 | 0.3662 | 1.3488 | -1.7032 | 0.8400 | 3.0520 | -9.0059 | -41.4255 | -0.1421 | -0.2448 |
| 0.171 | 8.8889 | 500 | 0.3635 | 1.3313 | -1.7326 | 0.8400 | 3.0640 | -9.1805 | -41.7197 | -0.1399 | -0.2430 |
| 0.2313 | 9.7778 | 550 | 0.3613 | 1.3392 | -1.7432 | 0.8400 | 3.0824 | -9.1017 | -41.8256 | -0.1378 | -0.2410 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- License
- llama3.1
- Created
- May 19, 2025
- Updated
- May 19, 2025