Downloads · 30 days
3
12% of all-time downloads
model_usp4_dpo9
guoyu-zhang/model_usp4_dpo9
model_usp4_dpo9 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
26
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
- 7e166f8b
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_usp4_dpo9
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: 3.0245
- Rewards/chosen: -8.7593
- Rewards/rejected: -14.6879
- Rewards/accuracies: 0.6800
- Rewards/margins: 5.9286
- Logps/rejected: -126.1702
- Logps/chosen: -122.7822
- Logits/rejected: -0.5270
- Logits/chosen: -0.4937
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0474 | 2.67 | 100 | 1.4973 | -7.5502 | -10.3869 | 0.6800 | 2.8366 | -121.3912 | -121.4387 | -0.3436 | -0.3419 |
| 0.0519 | 5.33 | 200 | 2.4820 | -8.4480 | -12.1331 | 0.6800 | 3.6850 | -123.3315 | -122.4363 | -0.4441 | -0.4246 |
| 0.042 | 8.0 | 300 | 2.9082 | -4.2282 | -9.0990 | 0.6700 | 4.8708 | -119.9602 | -117.7476 | -0.3275 | -0.2971 |
| 0.0 | 10.67 | 400 | 3.0274 | -8.7246 | -14.6605 | 0.6900 | 5.9359 | -126.1397 | -122.7436 | -0.5266 | -0.4935 |
| 0.0 | 13.33 | 500 | 3.0135 | -8.7321 | -14.6991 | 0.6900 | 5.9670 | -126.1826 | -122.7520 | -0.5276 | -0.4944 |
| 0.0 | 16.0 | 600 | 3.0025 | -8.7128 | -14.6671 | 0.7000 | 5.9542 | -126.1470 | -122.7305 | -0.5289 | -0.4956 |
| 0.0 | 18.67 | 700 | 3.0086 | -8.7343 | -14.6314 | 0.6900 | 5.8971 | -126.1074 | -122.7544 | -0.5275 | -0.4944 |
| 0.0 | 21.33 | 800 | 3.0003 | -8.7154 | -14.6723 | 0.6800 | 5.9569 | -126.1529 | -122.7334 | -0.5277 | -0.4945 |
| 0.0 | 24.0 | 900 | 3.0039 | -8.7302 | -14.6820 | 0.6900 | 5.9518 | -126.1636 | -122.7498 | -0.5274 | -0.4944 |
| 0.0 | 26.67 | 1000 | 3.0245 | -8.7593 | -14.6879 | 0.6800 | 5.9286 | -126.1702 | -122.7822 | -0.5270 | -0.4937 |
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