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llama3.1_8b_dpo_bwgenerator
NanQiangHF/llama3.1_8b_dpo_bwgenerator
llama3.1_8b_dpo_bwgenerator is a machine learning model from NanQiangHF. 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
- Model type
- llama
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 18, 2024
- SHA
- 57a17b63
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. -->
llama3.1_8b_dpo_bwgenerator
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0325
- Rewards/chosen: -8.0882
- Rewards/rejected: -39.4615
- Rewards/accuracies: 0.9958
- Rewards/margins: 31.3733
- Logps/rejected: -504.7621
- Logps/chosen: -165.4306
- Logits/rejected: -1.1893
- Logits/chosen: -1.7730
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0854 | 0.0719 | 1000 | 0.1058 | -28.5182 | -64.6284 | 0.9929 | 36.1101 | -756.4312 | -369.7310 | -1.1763 | -1.7541 |
| 0.078 | 0.1438 | 2000 | 0.0582 | -16.5113 | -45.2514 | 0.9938 | 28.7401 | -562.6614 | -249.6615 | -1.1262 | -1.7216 |
| 0.0458 | 0.2157 | 3000 | 0.0506 | -12.8337 | -41.3538 | 0.9942 | 28.5201 | -523.6852 | -212.8855 | -1.3210 | -1.8884 |
| 0.0295 | 0.2876 | 4000 | 0.0534 | -12.7034 | -45.1669 | 0.9942 | 32.4635 | -561.8164 | -211.5826 | -1.2303 | -1.8040 |
| 0.0442 | 0.3595 | 5000 | 0.0428 | -10.9032 | -42.1320 | 0.9955 | 31.2288 | -531.4679 | -193.5811 | -1.2327 | -1.8028 |
| 0.0329 | 0.4313 | 6000 | 0.0365 | -8.5207 | -36.8790 | 0.9951 | 28.3583 | -478.9377 | -169.7559 | -1.2024 | -1.7841 |
| 0.0384 | 0.5032 | 7000 | 0.0418 | -12.1405 | -46.4364 | 0.9955 | 34.2959 | -574.5117 | -205.9535 | -1.1646 | -1.7549 |
| 0.0596 | 0.5751 | 8000 | 0.0344 | -8.7801 | -39.5544 | 0.9951 | 30.7743 | -505.6917 | -172.3499 | -1.2145 | -1.7970 |
| 0.0437 | 0.6470 | 9000 | 0.0347 | -9.4417 | -41.5833 | 0.9955 | 32.1416 | -525.9807 | -178.9660 | -1.1796 | -1.7709 |
| 0.0203 | 0.7189 | 10000 | 0.0357 | -9.3723 | -41.8496 | 0.9951 | 32.4773 | -528.6439 | -178.2718 | -1.1694 | -1.7593 |
| 0.0257 | 0.7908 | 11000 | 0.0347 | -8.6569 | -40.6073 | 0.9961 | 31.9505 | -516.2208 | -171.1173 | -1.1821 | -1.7676 |
| 0.0355 | 0.8627 | 12000 | 0.0332 | -8.4060 | -40.1402 | 0.9964 | 31.7342 | -511.5494 | -168.6083 | -1.1878 | -1.7722 |
| 0.0553 | 0.9346 | 13000 | 0.0325 | -8.0882 | -39.4615 | 0.9958 | 31.3733 | -504.7621 | -165.4306 | -1.1893 | -1.7730 |
Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1
- Library
- peft
- Type
- llama
- License
- llama3.1
- Created
- Sep 4, 2024
- Updated
- Sep 18, 2024