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WeniGPT-QA-Zephyr-7B-4.0.1-KTO
Weni/WeniGPT-QA-Zephyr-7B-4.0.1-KTO
WeniGPT-QA-Zephyr-7B-4.0.1-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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Mar 29, 2024
- SHA
- e5776c1c
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-QA-Zephyr-7B-4.0.1-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: 0.0038
- Rewards/chosen: 6.5225
- Rewards/rejected: -33.7048
- Rewards/margins: 40.2273
- Kl: 0.0
- Logps/chosen: -111.4407
- Logps/rejected: -539.2156
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: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 786
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/margins | Kl | Logps/chosen | Logps/rejected |
|---|---|---|---|---|---|---|---|---|---|
| 0.204 | 0.38 | 50 | 0.0275 | 5.6328 | -20.3465 | 25.9793 | 0.0 | -120.3375 | -405.6329 |
| 0.073 | 0.76 | 100 | 0.0143 | 5.7898 | -19.2664 | 25.0562 | 0.0 | -118.7677 | -394.8320 |
| 0.0553 | 1.13 | 150 | 0.0225 | 5.8121 | -29.9815 | 35.7935 | 0.0 | -118.5453 | -501.9826 |
| 0.0232 | 1.51 | 200 | 0.0048 | 6.4515 | -27.5911 | 34.0425 | 0.0 | -112.1512 | -478.0785 |
| 0.0519 | 1.89 | 250 | 0.0081 | 6.4814 | -30.4910 | 36.9724 | 0.0 | -111.8522 | -507.0782 |
| 0.0095 | 2.27 | 300 | 0.0154 | 6.4081 | -33.8838 | 40.2919 | 0.0 | -112.5852 | -541.0063 |
| 0.0098 | 2.65 | 350 | 0.0052 | 6.5962 | -41.2733 | 47.8696 | 0.0 | -110.7035 | -614.9014 |
| 0.0038 | 3.02 | 400 | 0.0038 | 6.5225 | -33.7048 | 40.2273 | 0.0 | -111.4407 | -539.2156 |
| 0.0068 | 3.4 | 450 | 0.0080 | 6.3449 | -43.3527 | 49.6976 | 0.0 | -113.2169 | -635.6954 |
| 0.0037 | 3.78 | 500 | 0.0071 | 6.5639 | -44.5033 | 51.0672 | 0.0 | -111.0268 | -647.2004 |
| 0.0032 | 4.16 | 550 | 0.0085 | 6.6333 | -29.5095 | 36.1428 | 0.0 | -110.3333 | -497.2631 |
| 0.0029 | 4.54 | 600 | 0.0048 | 6.5574 | -42.0858 | 48.6432 | 0.0 | -111.0921 | -623.0258 |
| 0.0028 | 4.91 | 650 | 0.0041 | 6.6663 | -41.3645 | 48.0309 | 0.0 | -110.0026 | -615.8130 |
| 0.0032 | 5.29 | 700 | 0.0040 | 6.6773 | -41.2318 | 47.9091 | 0.0 | -109.8931 | -614.4858 |
| 0.003 | 5.67 | 750 | 0.0040 | 6.6870 | -41.2272 | 47.9142 | 0.0 | -109.7961 | -614.4399 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Mar 28, 2024
- Updated
- Mar 29, 2024