Downloads · 30 days
8
33% of all-time downloads
zephyr-7b-dpo-lora
LaoRay/zephyr-7b-dpo-lora
zephyr-7b-dpo-lora is a machine learning model from LaoRay. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
24
Public
Repo size
28.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Aug 11, 2024
- Updated
- Aug 14, 2024
- SHA
- 050c558f
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. -->
zephyr-7b-dpo-lora
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 1.5622
- Rewards/chosen: -17.0278
- Rewards/rejected: -19.8457
- Rewards/accuracies: 0.6500
- Rewards/margins: 2.8179
- Logps/rejected: -2233.0220
- Logps/chosen: -1971.0188
- Logits/rejected: -1.7584
- Logits/chosen: -1.7819
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6861 | 0.992 | 62 | 0.6889 | 0.0006 | -0.0081 | 0.6450 | 0.0087 | -249.2549 | -268.1721 | -2.8525 | -2.8868 |
| 0.6612 | 2.0 | 125 | 0.6531 | -0.0006 | -0.0929 | 0.6550 | 0.0923 | -257.7365 | -268.2944 | -2.8301 | -2.8604 |
| 0.498 | 2.992 | 187 | 0.6181 | -0.5345 | -0.7907 | 0.6950 | 0.2561 | -327.5125 | -321.6882 | -2.7597 | -2.7831 |
| 0.2445 | 4.0 | 250 | 0.6131 | -1.7835 | -2.3662 | 0.6800 | 0.5827 | -485.0650 | -446.5857 | -2.0948 | -2.1082 |
| 0.1749 | 4.992 | 312 | 0.6447 | -2.2836 | -2.9706 | 0.6650 | 0.6870 | -545.5024 | -496.5903 | -1.8275 | -1.8365 |
| 0.0492 | 6.0 | 375 | 0.9374 | -7.0520 | -8.3385 | 0.6400 | 1.2865 | -1082.3002 | -973.4358 | -1.3453 | -1.3454 |
| 0.0064 | 6.992 | 437 | 0.8928 | -8.6496 | -10.2275 | 0.6450 | 1.5779 | -1271.1948 | -1133.1906 | -1.5853 | -1.5996 |
| 0.01 | 8.0 | 500 | 1.2673 | -13.8405 | -16.0886 | 0.6400 | 2.2482 | -1857.3101 | -1652.2802 | -1.6448 | -1.6610 |
| 0.0007 | 8.992 | 562 | 1.1752 | -11.4716 | -13.4777 | 0.6300 | 2.0061 | -1596.2178 | -1415.3928 | -1.8498 | -1.8705 |
| 0.0002 | 10.0 | 625 | 1.3088 | -13.5264 | -15.8880 | 0.6350 | 2.3616 | -1837.2434 | -1620.8707 | -1.8164 | -1.8397 |
| 0.0003 | 10.992 | 687 | 1.3563 | -15.6686 | -18.2912 | 0.6700 | 2.6225 | -2077.5627 | -1835.0981 | -1.7419 | -1.7643 |
| 0.0001 | 12.0 | 750 | 1.4799 | -16.0123 | -18.6412 | 0.6400 | 2.6289 | -2112.5684 | -1869.4608 | -1.7532 | -1.7747 |
| 0.0 | 12.992 | 812 | 1.4863 | -15.9107 | -18.5614 | 0.6450 | 2.6507 | -2104.5852 | -1859.3058 | -1.7792 | -1.8020 |
| 0.0003 | 14.0 | 875 | 1.5278 | -16.6140 | -19.3716 | 0.6500 | 2.7576 | -2185.6045 | -1929.6328 | -1.7600 | -1.7826 |
| 0.0438 | 14.992 | 937 | 1.5387 | -16.7605 | -19.5376 | 0.6500 | 2.7771 | -2202.2078 | -1944.2887 | -1.7625 | -1.7854 |
| 0.0001 | 16.0 | 1000 | 1.5438 | -16.8482 | -19.6450 | 0.6550 | 2.7968 | -2212.9512 | -1953.0580 | -1.7596 | -1.7831 |
| 0.0435 | 16.992 | 1062 | 1.5527 | -16.9283 | -19.7428 | 0.6500 | 2.8145 | -2222.7285 | -1961.0630 | -1.7629 | -1.7860 |
| 0.0001 | 18.0 | 1125 | 1.5617 | -16.9933 | -19.8065 | 0.6550 | 2.8133 | -2229.1018 | -1967.5621 | -1.7580 | -1.7814 |
| 0.0002 | 18.992 | 1187 | 1.5675 | -17.0212 | -19.8377 | 0.6550 | 2.8165 | -2232.2144 | -1970.3562 | -1.7594 | -1.7825 |
| 0.0001 | 19.84 | 1240 | 1.5622 | -17.0278 | -19.8457 | 0.6500 | 2.8179 | -2233.0220 | -1971.0188 | -1.7584 | -1.7819 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 11, 2024
- Updated
- Aug 14, 2024