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openhermes-mistral-dpo-gptq
akashkumarbtc/openhermes-mistral-dpo-gptq
openhermes-mistral-dpo-gptq is a machine learning model from akashkumarbtc. 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 10, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024
- SHA
- b4617681
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: 0.1947
- Rewards/chosen: 1.6152
- Rewards/rejected: -0.7739
- Rewards/accuracies: 1.0
- Rewards/margins: 2.3891
- Logps/rejected: -44.7556
- Logps/chosen: -277.0341
- Logits/rejected: -1.2926
- Logits/chosen: -2.0369
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6696 | 0.01 | 10 | 0.5880 | 0.1428 | -0.0848 | 0.75 | 0.2276 | -37.8643 | -291.7574 | -1.2055 | -2.0304 |
| 0.5209 | 0.02 | 20 | 0.3704 | 0.7380 | -0.2765 | 1.0 | 1.0145 | -39.7818 | -285.8060 | -1.2770 | -2.0614 |
| 0.3319 | 0.03 | 30 | 0.2640 | 1.1988 | -0.4424 | 1.0 | 1.6412 | -41.4403 | -281.1980 | -1.3008 | -2.0673 |
| 0.216 | 0.04 | 40 | 0.2150 | 1.4326 | -0.6569 | 1.0 | 2.0896 | -43.5858 | -278.8598 | -1.2972 | -2.0492 |
| 0.1711 | 0.06 | 50 | 0.1947 | 1.6152 | -0.7739 | 1.0 | 2.3891 | -44.7556 | -277.0341 | -1.2926 | -2.0369 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024