Downloads · 30 days
16
42% of all-time downloads
phi-2-dpo-test-iter-0
DUAL-GPO/phi-2-dpo-test-iter-0
phi-2-dpo-test-iter-0 is a machine learning model from DUAL-GPO. 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. --
All-time downloads
38
Public
Repo size
84 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors42 MB · 92%
At a glance
- Library
- peft
- License
- mit
- Model type
- phi
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Mar 28, 2024
- SHA
- 704bb293
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. -->
phi-2-dpo-test-iter-0
This model is a fine-tuned version of lole25/phi-2-sft-ultrachat-lora on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Rewards/chosen: -0.0029
- Rewards/rejected: -0.0032
- Rewards/accuracies: 0.5130
- Rewards/margins: 0.0003
- Logps/rejected: -233.8547
- Logps/chosen: -256.9005
- Logits/rejected: 0.8721
- Logits/chosen: 0.8145
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- 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_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0001 | 0.32 | 100 | 0.0002 | -0.0012 | -0.0015 | 0.5200 | 0.0003 | -233.6874 | -256.7341 | 0.8840 | 0.8263 |
| 0.0001 | 0.64 | 200 | 0.0002 | -0.0021 | -0.0023 | 0.5005 | 0.0002 | -233.7691 | -256.8278 | 0.8778 | 0.8201 |
| 0.0001 | 0.96 | 300 | 0.0002 | -0.0021 | -0.0024 | 0.4985 | 0.0003 | -233.7780 | -256.8272 | 0.8783 | 0.8206 |
| 0.0001 | 1.28 | 400 | 0.0002 | -0.0026 | -0.0029 | 0.5195 | 0.0003 | -233.8277 | -256.8757 | 0.8769 | 0.8192 |
| 0.0001 | 1.6 | 500 | 0.0002 | -0.0027 | -0.0030 | 0.5170 | 0.0003 | -233.8388 | -256.8869 | 0.8729 | 0.8151 |
| 0.0001 | 1.92 | 600 | 0.0002 | -0.0027 | -0.0030 | 0.5070 | 0.0003 | -233.8414 | -256.8860 | 0.8757 | 0.8180 |
| 0.0001 | 2.24 | 700 | 0.0002 | -0.0030 | -0.0032 | 0.5065 | 0.0002 | -233.8592 | -256.9123 | 0.8719 | 0.8142 |
| 0.0001 | 2.56 | 800 | 0.0002 | -0.0028 | -0.0030 | 0.5190 | 0.0003 | -233.8422 | -256.8898 | 0.8713 | 0.8135 |
| 0.0001 | 2.88 | 900 | 0.0002 | -0.0030 | -0.0031 | 0.5015 | 0.0002 | -233.8529 | -256.9111 | 0.8714 | 0.8136 |
| 0.0001 | 3.2 | 1000 | 0.0002 | -0.0029 | -0.0033 | 0.5180 | 0.0004 | -233.8666 | -256.9036 | 0.8733 | 0.8156 |
| 0.0001 | 3.52 | 1100 | 0.0002 | -0.0029 | -0.0034 | 0.5265 | 0.0005 | -233.8779 | -256.9080 | 0.8724 | 0.8145 |
| 0.0001 | 3.84 | 1200 | 0.0002 | -0.0031 | -0.0033 | 0.5045 | 0.0003 | -233.8733 | -256.9227 | 0.8705 | 0.8127 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
- Library
- peft
- Type
- phi
- License
- mit
- Created
- Mar 28, 2024
- Updated
- Mar 28, 2024