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openhermes-mistral-dpo-gptq
nolo99/openhermes-mistral-dpo-gptq
openhermes-mistral-dpo-gptq is a machine learning model from nolo99. 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 Feb 15, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024
- SHA
- d40c530c
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: 0.8471
- Rewards/chosen: -0.2589
- Rewards/rejected: -0.1510
- Rewards/accuracies: 0.375
- Rewards/margins: -0.1079
- Logps/rejected: -116.0277
- Logps/chosen: -111.7328
- Logits/rejected: -2.2331
- Logits/chosen: -2.3546
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6755 | 0.1 | 10 | 0.7298 | -0.0301 | -0.0035 | 0.375 | -0.0266 | -114.5520 | -109.4439 | -2.2395 | -2.3722 |
| 0.6379 | 0.2 | 20 | 0.7804 | -0.1600 | -0.1132 | 0.375 | -0.0468 | -115.6494 | -110.7433 | -2.2341 | -2.3621 |
| 0.7061 | 0.3 | 30 | 0.8180 | -0.2242 | -0.1463 | 0.375 | -0.0779 | -115.9803 | -111.3849 | -2.2357 | -2.3577 |
| 0.6503 | 0.4 | 40 | 0.8460 | -0.2548 | -0.1442 | 0.375 | -0.1106 | -115.9595 | -111.6915 | -2.2330 | -2.3554 |
| 0.9618 | 0.5 | 50 | 0.8471 | -0.2589 | -0.1510 | 0.375 | -0.1079 | -116.0277 | -111.7328 | -2.2331 | -2.3546 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
- License
- apache-2.0
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024