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openhermes-mistral-dpo-gptq
Gokul29/openhermes-mistral-dpo-gptq
openhermes-mistral-dpo-gptq is a machine learning model from Gokul29. 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. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024
- SHA
- 55e9ccfa
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: 0.5940
- Rewards/chosen: 0.0155
- Rewards/rejected: -0.3247
- Rewards/accuracies: 0.875
- Rewards/margins: 0.3402
- Logps/rejected: -329.5930
- Logps/chosen: -281.9707
- Logits/rejected: -2.2879
- Logits/chosen: -2.2211
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6766 | 0.01 | 10 | 0.7047 | -0.0328 | -0.0733 | 0.5 | 0.0405 | -327.0790 | -282.4540 | -2.2913 | -2.2181 |
| 0.7059 | 0.01 | 20 | 0.6603 | -0.0641 | -0.2367 | 0.8125 | 0.1726 | -328.7130 | -282.7669 | -2.2896 | -2.2224 |
| 0.6913 | 0.01 | 30 | 0.6036 | 0.0238 | -0.2729 | 0.875 | 0.2968 | -329.0755 | -281.8873 | -2.2889 | -2.2248 |
| 0.7003 | 0.02 | 40 | 0.5921 | 0.0259 | -0.3104 | 0.875 | 0.3364 | -329.4504 | -281.8663 | -2.2881 | -2.2227 |
| 0.6585 | 0.03 | 50 | 0.5940 | 0.0155 | -0.3247 | 0.875 | 0.3402 | -329.5930 | -281.9707 | -2.2879 | -2.2211 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024