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openhermes-mistral-dpo-gptq
gswap/openhermes-mistral-dpo-gptq
openhermes-mistral-dpo-gptq is a machine learning model from gswap. 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
- May 19, 2024
- Updated
- Jun 1, 2024
- SHA
- b7b4a611
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: 1.5203
- Rewards/chosen: 4.8953
- Rewards/rejected: -6.8710
- Rewards/accuracies: 0.875
- Rewards/margins: 11.7663
- Logps/rejected: -512.2221
- Logps/chosen: -446.3599
- Logits/rejected: -2.4853
- Logits/chosen: -2.3998
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6384 | 0.025 | 10 | 0.9029 | 0.3196 | -0.5976 | 0.8125 | 0.9171 | -449.4874 | -492.1170 | -2.5249 | -2.3642 |
| 0.0586 | 0.05 | 20 | 1.6495 | 2.8410 | -4.2864 | 0.8125 | 7.1274 | -486.3763 | -466.9029 | -2.5061 | -2.3959 |
| 0.0116 | 0.075 | 30 | 1.5584 | 4.2892 | -6.0162 | 0.8125 | 10.3053 | -503.6734 | -452.4211 | -2.4984 | -2.4059 |
| 1.7733 | 0.1 | 40 | 1.5091 | 4.7449 | -6.6237 | 0.8125 | 11.3687 | -509.7491 | -447.8633 | -2.4894 | -2.4020 |
| 0.0 | 0.125 | 50 | 1.5203 | 4.8953 | -6.8710 | 0.875 | 11.7663 | -512.2221 | -446.3599 | -2.4853 | -2.3998 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 19, 2024
- Updated
- Jun 1, 2024