Downloads · 30 days
5
17% of all-time downloads
model_hh_usp3_400
guoyu-zhang/model_hh_usp3_400
model_hh_usp3_400 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. --
All-time downloads
29
Public
Repo size
12.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors25.2 MB · 93%
At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- 1a22afd5
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_400
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: 3.1160
- Rewards/chosen: -8.2855
- Rewards/rejected: -15.5942
- Rewards/accuracies: 0.6700
- Rewards/margins: 7.3087
- Logps/rejected: -130.3543
- Logps/chosen: -121.6985
- Logits/rejected: -0.6216
- Logits/chosen: -0.5451
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.01 | 4.0 | 100 | 1.2916 | -0.4582 | -4.3086 | 0.6700 | 3.8504 | -117.8148 | -113.0015 | -0.2184 | -0.2363 |
| 0.0779 | 8.0 | 200 | 2.2220 | -3.5887 | -8.9487 | 0.6700 | 5.3600 | -122.9704 | -116.4798 | -0.6463 | -0.6426 |
| 0.0002 | 12.0 | 300 | 2.6768 | -2.9215 | -9.1033 | 0.6700 | 6.1818 | -123.1422 | -115.7384 | -0.5538 | -0.4825 |
| 0.0 | 16.0 | 400 | 3.0879 | -8.2794 | -15.6271 | 0.6700 | 7.3476 | -130.3908 | -121.6917 | -0.6205 | -0.5443 |
| 0.0 | 20.0 | 500 | 3.0933 | -8.2829 | -15.6299 | 0.6700 | 7.3470 | -130.3939 | -121.6956 | -0.6209 | -0.5444 |
| 0.0 | 24.0 | 600 | 3.0984 | -8.2550 | -15.6140 | 0.6800 | 7.3590 | -130.3763 | -121.6645 | -0.6208 | -0.5443 |
| 0.0 | 28.0 | 700 | 3.0852 | -8.2794 | -15.5895 | 0.6800 | 7.3102 | -130.3491 | -121.6916 | -0.6204 | -0.5440 |
| 0.0 | 32.0 | 800 | 3.0838 | -8.2687 | -15.6392 | 0.6700 | 7.3705 | -130.4043 | -121.6798 | -0.6212 | -0.5448 |
| 0.0 | 36.0 | 900 | 3.0836 | -8.2681 | -15.6105 | 0.6700 | 7.3424 | -130.3724 | -121.6791 | -0.6211 | -0.5444 |
| 0.0 | 40.0 | 1000 | 3.1160 | -8.2855 | -15.5942 | 0.6700 | 7.3087 | -130.3543 | -121.6985 | -0.6216 | -0.5451 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- llama2
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024