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WeniGPT-Agents-Zephyr-1.0.22-KTO
Weni/WeniGPT-Agents-Zephyr-1.0.22-KTO
WeniGPT-Agents-Zephyr-1.0.22-KTO is a machine learning model from Weni. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Apr 9, 2024
- Updated
- Apr 9, 2024
- SHA
- 01c73873
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. -->
WeniGPT-Agents-Zephyr-1.0.22-KTO
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5
- Rewards/chosen: -201.5416
- Rewards/rejected: -167.1877
- Rewards/margins: -34.3538
- Kl: 0.0
- Logps/chosen: -2299.1667
- Logps/rejected: -1911.5133
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 147
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/margins | Kl | Logps/chosen | Logps/rejected |
|---|---|---|---|---|---|---|---|---|---|
| 0.7678 | 0.32 | 50 | 0.5000 | -200.7396 | -166.6349 | -34.1048 | 0.0 | -2291.1479 | -1905.9844 |
| 0.6427 | 0.65 | 100 | 0.5 | -201.5416 | -167.1877 | -34.3538 | 0.0 | -2299.1667 | -1911.5133 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- Created
- Apr 9, 2024
- Updated
- Apr 9, 2024