Downloads · 30 days
4
13% of all-time downloads
model_hh_shp4_400
guoyu-zhang/model_hh_shp4_400
model_hh_shp4_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
30
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
- 21177e9d
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_shp4_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: 4.9693
- Rewards/chosen: -8.6216
- Rewards/rejected: -8.5158
- Rewards/accuracies: 0.5100
- Rewards/margins: -0.1058
- Logps/rejected: -223.9328
- Logps/chosen: -248.9690
- Logits/rejected: -0.7143
- Logits/chosen: -0.6784
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0234 | 4.0 | 100 | 1.9125 | 1.9279 | 1.7933 | 0.6000 | 0.1345 | -212.4782 | -237.2473 | -0.4999 | -0.5089 |
| 0.0617 | 8.0 | 200 | 3.6324 | 1.3369 | 2.0986 | 0.5100 | -0.7617 | -212.1390 | -237.9039 | -0.8276 | -0.7974 |
| 0.013 | 12.0 | 300 | 4.9916 | -0.1751 | 0.9862 | 0.5100 | -1.1614 | -213.3750 | -239.5840 | -0.6475 | -0.6290 |
| 0.0 | 16.0 | 400 | 4.9706 | -8.6036 | -8.4956 | 0.5200 | -0.1080 | -223.9103 | -248.9490 | -0.7141 | -0.6786 |
| 0.0 | 20.0 | 500 | 4.9635 | -8.6143 | -8.5440 | 0.5 | -0.0704 | -223.9641 | -248.9609 | -0.7130 | -0.6773 |
| 0.0 | 24.0 | 600 | 4.9862 | -8.5996 | -8.4640 | 0.5100 | -0.1356 | -223.8752 | -248.9445 | -0.7137 | -0.6781 |
| 0.0 | 28.0 | 700 | 4.9701 | -8.6180 | -8.5034 | 0.5 | -0.1147 | -223.9190 | -248.9650 | -0.7143 | -0.6782 |
| 0.0 | 32.0 | 800 | 4.9508 | -8.5621 | -8.5009 | 0.5100 | -0.0612 | -223.9163 | -248.9029 | -0.7140 | -0.6782 |
| 0.0 | 36.0 | 900 | 4.9729 | -8.6333 | -8.5082 | 0.5 | -0.1252 | -223.9243 | -248.9819 | -0.7143 | -0.6783 |
| 0.0 | 40.0 | 1000 | 4.9693 | -8.6216 | -8.5158 | 0.5100 | -0.1058 | -223.9328 | -248.9690 | -0.7143 | -0.6784 |
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