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openhermes-mistral-dpo-gptq
likhith231/openhermes-mistral-dpo-gptq
openhermes-mistral-dpo-gptq is a machine learning model from likhith231. 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
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- 4323e68b
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: 0.6282
- Rewards/chosen: 0.0648
- Rewards/rejected: -0.1682
- Rewards/accuracies: 0.5625
- Rewards/margins: 0.2330
- Logps/rejected: -449.7376
- Logps/chosen: -595.4427
- Logits/rejected: -1.8275
- Logits/chosen: -1.7465
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6839 | 0.01 | 10 | 0.6418 | 0.1941 | 0.0444 | 0.5625 | 0.1498 | -447.6118 | -594.1498 | -1.8467 | -1.7399 |
| 0.7038 | 0.01 | 20 | 0.6286 | 0.2428 | 0.0265 | 0.5625 | 0.2162 | -447.7904 | -593.6635 | -1.8468 | -1.7509 |
| 0.6388 | 0.01 | 30 | 0.6218 | 0.2294 | -0.0446 | 0.625 | 0.2741 | -448.5019 | -593.7968 | -1.8401 | -1.7519 |
| 0.648 | 0.02 | 40 | 0.6218 | 0.1284 | -0.1299 | 0.625 | 0.2582 | -449.3542 | -594.8075 | -1.8332 | -1.7487 |
| 0.673 | 0.03 | 50 | 0.6282 | 0.0648 | -0.1682 | 0.5625 | 0.2330 | -449.7376 | -595.4427 | -1.8275 | -1.7465 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.1
- Library
- peft
- License
- apache-2.0
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024