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model_hh_usp3_200
guoyu-zhang/model_hh_usp3_200
model_hh_usp3_200 is a machine learning model from guoyu-zhang. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- 71ae9209
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. -->
model_hh_usp3_200
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8202
- Rewards/chosen: -6.0974
- Rewards/rejected: -8.9863
- Rewards/accuracies: 0.6300
- Rewards/margins: 2.8889
- Logps/rejected: -120.5816
- Logps/chosen: -117.1597
- Logits/rejected: -0.0796
- Logits/chosen: -0.0123
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- 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: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0 | 8.0 | 100 | 1.8186 | -5.9435 | -8.8369 | 0.6300 | 2.8934 | -120.4156 | -116.9887 | -0.0816 | -0.0143 |
| 0.0 | 16.0 | 200 | 1.8025 | -6.0024 | -8.9192 | 0.6200 | 2.9168 | -120.5071 | -117.0542 | -0.0812 | -0.0142 |
| 0.0 | 24.0 | 300 | 1.7997 | -6.0563 | -8.9882 | 0.6300 | 2.9319 | -120.5837 | -117.1141 | -0.0806 | -0.0133 |
| 0.0 | 32.0 | 400 | 1.8278 | -6.0899 | -8.9796 | 0.6300 | 2.8898 | -120.5742 | -117.1513 | -0.0794 | -0.0122 |
| 0.0 | 40.0 | 500 | 1.8304 | -6.1315 | -9.0197 | 0.6300 | 2.8882 | -120.6187 | -117.1977 | -0.0796 | -0.0128 |
| 0.0 | 48.0 | 600 | 1.8260 | -6.0887 | -8.9905 | 0.6300 | 2.9018 | -120.5863 | -117.1501 | -0.0804 | -0.0131 |
| 0.0 | 56.0 | 700 | 1.8303 | -6.1106 | -8.9877 | 0.6300 | 2.8771 | -120.5832 | -117.1744 | -0.0801 | -0.0132 |
| 0.0 | 64.0 | 800 | 1.8139 | -6.0927 | -8.9885 | 0.6300 | 2.8957 | -120.5840 | -117.1545 | -0.0786 | -0.0117 |
| 0.0 | 72.0 | 900 | 1.8263 | -6.1113 | -8.9822 | 0.6200 | 2.8709 | -120.5770 | -117.1752 | -0.0789 | -0.0120 |
| 0.0 | 80.0 | 1000 | 1.8202 | -6.0974 | -8.9863 | 0.6300 | 2.8889 | -120.5816 | -117.1597 | -0.0796 | -0.0123 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- llama2
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024