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mistral-dpo
sonu2023/mistral-dpo
mistral-dpo is a machine learning model from sonu2023. 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 Jan 11, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024
- SHA
- 5dc6a9f9
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. -->
mistral-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: 0.7175
- Rewards/chosen: 0.5987
- Rewards/rejected: 0.4947
- Rewards/accuracies: 0.5769
- Rewards/margins: 0.1040
- Logps/rejected: -155.3645
- Logps/chosen: -178.6683
- Logits/rejected: -2.3247
- Logits/chosen: -2.3598
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: 100
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.7039 | 0.0 | 10 | 0.6929 | 0.0710 | 0.0692 | 0.5 | 0.0018 | -159.6188 | -183.9449 | -2.2886 | -2.3271 |
| 0.68 | 0.0 | 20 | 0.7113 | -0.0478 | -0.0188 | 0.4519 | -0.0290 | -160.4993 | -185.1333 | -2.2979 | -2.3361 |
| 0.8777 | 0.0 | 30 | 0.7367 | -0.3027 | -0.2538 | 0.4904 | -0.0489 | -162.8490 | -187.6822 | -2.3132 | -2.3525 |
| 0.8501 | 0.0 | 40 | 0.7407 | -0.2893 | -0.2458 | 0.4327 | -0.0435 | -162.7690 | -187.5477 | -2.3173 | -2.3556 |
| 0.7253 | 0.0 | 50 | 0.7207 | -0.0228 | -0.0265 | 0.4904 | 0.0037 | -160.5759 | -184.8833 | -2.3167 | -2.3538 |
| 0.7293 | 0.0 | 60 | 0.7066 | 0.1787 | 0.1240 | 0.5673 | 0.0547 | -159.0715 | -182.8687 | -2.3194 | -2.3553 |
| 0.6057 | 0.01 | 70 | 0.6851 | 0.4039 | 0.2915 | 0.5769 | 0.1125 | -157.3963 | -180.6157 | -2.3192 | -2.3543 |
| 0.7169 | 0.01 | 80 | 0.6853 | 0.5467 | 0.4175 | 0.5769 | 0.1291 | -156.1357 | -179.1884 | -2.3219 | -2.3564 |
| 0.6324 | 0.01 | 90 | 0.7046 | 0.5751 | 0.4602 | 0.5769 | 0.1149 | -155.7090 | -178.9038 | -2.3232 | -2.3580 |
| 0.5915 | 0.01 | 100 | 0.7175 | 0.5987 | 0.4947 | 0.5769 | 0.1040 | -155.3645 | -178.6683 | -2.3247 | -2.3598 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024