Downloads · 30 days
2
7% of all-time downloads
openhermes-mistral-dpo-gptq
ramnathv/openhermes-mistral-dpo-gptq
openhermes-mistral-dpo-gptq is a machine learning model from ramnathv. 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
29
Public
Repo size
14.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors13.6 MB · 86%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 21, 2023
- Updated
- Dec 21, 2023
- SHA
- be5fe83e
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. -->
openhermes-mistral-dpo-gptq
This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6173
- Rewards/chosen: 12.3662
- Rewards/rejected: 8.3268
- Rewards/accuracies: 0.875
- Rewards/margins: 4.0394
- Logps/rejected: -284.7693
- Logps/chosen: -270.0549
- Logits/rejected: -2.4409
- Logits/chosen: -2.6955
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6874 | 0.01 | 10 | 0.6396 | 0.0822 | -0.0086 | 0.5625 | 0.0908 | -368.1237 | -392.8953 | -2.2951 | -2.4730 |
| 0.7988 | 0.01 | 20 | 0.5694 | 1.1019 | 0.5787 | 0.875 | 0.5232 | -362.2504 | -382.6982 | -2.2767 | -2.5084 |
| 0.6368 | 0.01 | 30 | 0.5572 | 11.3452 | 7.2855 | 0.875 | 4.0597 | -295.1821 | -280.2652 | -2.4358 | -2.6872 |
| 1.6793 | 0.02 | 40 | 0.5216 | 11.9759 | 7.8540 | 0.9375 | 4.1220 | -289.4976 | -273.9581 | -2.4389 | -2.6947 |
| 4.9001 | 0.03 | 50 | 0.6173 | 12.3662 | 8.3268 | 0.875 | 4.0394 | -284.7693 | -270.0549 | -2.4409 | -2.6955 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Dec 21, 2023
- Updated
- Dec 21, 2023