Downloads · 30 days
0
mistral-dpo
Nadilazev/mistral-dpo
mistral-dpo is a machine learning model from Nadilazev. 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. --
Access
Public
Updated Nov 26, 2023
Repo size
14.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors13.7 MB · 85%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023
- SHA
- 54edfd55
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: 0.6931
- Rewards/chosen: 0.0156
- Rewards/rejected: 0.0156
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -165.4536
- Logps/chosen: -165.4536
- Logits/rejected: -1.7890
- Logits/chosen: -1.7890
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6931 | 0.01 | 10 | 0.6931 | 0.0246 | 0.0246 | 0.0 | 0.0 | -165.3638 | -165.3638 | -1.7889 | -1.7889 |
| 0.6931 | 0.01 | 20 | 0.6931 | 0.0133 | 0.0133 | 0.0 | 0.0 | -165.4770 | -165.4770 | -1.7895 | -1.7895 |
| 0.6931 | 0.01 | 30 | 0.6931 | 0.0060 | 0.0060 | 0.0 | 0.0 | -165.5494 | -165.5494 | -1.7923 | -1.7923 |
| 0.6931 | 0.02 | 40 | 0.6931 | 0.0063 | 0.0063 | 0.0 | 0.0 | -165.5464 | -165.5464 | -1.7897 | -1.7897 |
| 0.6931 | 0.03 | 50 | 0.6931 | 0.0156 | 0.0156 | 0.0 | 0.0 | -165.4536 | -165.4536 | -1.7890 | -1.7890 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023