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Llama-2-7b-hf-DPO-Filtered-0.2-version-2
LBK95/Llama-2-7b-hf-DPO-Filtered-0.2-version-2
Llama-2-7b-hf-DPO-Filtered-0.2-version-2 is a machine learning model from LBK95. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- May 9, 2024
- Updated
- May 10, 2024
- SHA
- 7d8d94c0
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-2-7b-hf-DPO-Filtered-0.2-version-2
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0005
- Rewards/chosen: -14.6192
- Rewards/rejected: -15.8788
- Rewards/accuracies: 0.6500
- Rewards/margins: 1.2596
- Logps/rejected: -200.2418
- Logps/chosen: -187.6859
- Logits/rejected: -1.3992
- Logits/chosen: -1.4011
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.7942 | 0.3007 | 289 | 0.6999 | -0.9241 | -0.9313 | 0.4500 | 0.0072 | -50.7666 | -50.7346 | -0.3565 | -0.3616 |
| 0.2572 | 0.6015 | 578 | 0.7096 | -5.2469 | -5.5281 | 0.5 | 0.2812 | -96.7347 | -93.9629 | -0.7591 | -0.7630 |
| 1.0719 | 0.9022 | 867 | 0.9637 | -8.1192 | -8.8822 | 0.6500 | 0.7630 | -130.2761 | -122.6863 | -1.0380 | -1.0448 |
| 7.5957 | 1.2029 | 1156 | 0.8582 | -11.6385 | -12.5781 | 0.75 | 0.9396 | -167.2348 | -157.8790 | -1.2656 | -1.2691 |
| 1.1754 | 1.5036 | 1445 | 1.0008 | -14.3623 | -14.8965 | 0.6500 | 0.5342 | -190.4189 | -185.1169 | -1.2682 | -1.2719 |
| 4.1259 | 1.8044 | 1734 | 0.8550 | -12.9397 | -14.0616 | 0.6500 | 1.1219 | -182.0699 | -170.8906 | -1.3336 | -1.3374 |
| 0.0022 | 2.1051 | 2023 | 0.9542 | -13.3905 | -14.4785 | 0.6500 | 1.0880 | -186.2391 | -175.3986 | -1.3731 | -1.3758 |
| 0.0207 | 2.4058 | 2312 | 0.9893 | -14.5572 | -15.8387 | 0.6500 | 1.2815 | -199.8413 | -187.0660 | -1.3984 | -1.4023 |
| 0.0015 | 2.7066 | 2601 | 1.0005 | -14.6192 | -15.8788 | 0.6500 | 1.2596 | -200.2418 | -187.6859 | -1.3992 | -1.4011 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- May 9, 2024
- Updated
- May 10, 2024