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openhermes-mistral-gptq-dpo
jamesliu23/openhermes-mistral-gptq-dpo
openhermes-mistral-gptq-dpo is a machine learning model from jamesliu23. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 9, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- 29cc232c
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-gptq-dpo
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: 0.8689
- Rewards/chosen: -1.0765
- Rewards/rejected: -0.9664
- Rewards/accuracies: 0.4800
- Rewards/margins: -0.1101
- Logps/rejected: -139.8855
- Logps/chosen: -135.5758
- Logits/rejected: -2.2110
- Logits/chosen: -2.2313
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: 0.0003
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6842 | 0.01 | 10 | 0.7768 | -0.4985 | -0.4411 | 0.5750 | -0.0574 | -134.6327 | -129.7961 | -2.2478 | -2.2667 |
| 0.8539 | 0.02 | 20 | 2.0287 | -9.4492 | -8.7234 | 0.4800 | -0.7258 | -217.4559 | -219.3030 | -1.5781 | -1.5859 |
| 0.9433 | 0.03 | 30 | 1.6915 | -7.3191 | -6.8845 | 0.5 | -0.4346 | -199.0667 | -198.0014 | -1.6865 | -1.6973 |
| 0.6295 | 0.04 | 40 | 0.9729 | -1.6986 | -1.5214 | 0.5200 | -0.1772 | -145.4362 | -141.7968 | -2.1859 | -2.2057 |
| 0.8681 | 0.05 | 50 | 0.8689 | -1.0765 | -0.9664 | 0.4800 | -0.1101 | -139.8855 | -135.5758 | -2.2110 | -2.2313 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023