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phi-2-gpo-renew2-b0.001-extra-i1
DUAL-GPO/phi-2-gpo-renew2-b0.001-extra-i1
phi-2-gpo-renew2-b0.001-extra-i1 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. --
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At a glance
- Library
- peft
- License
- mit
- Model type
- phi
- Access
- Public
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024
- SHA
- d9251dd7
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-gpo-renew2-b0.001-extra-i1
This model is a fine-tuned version of DUAL-GPO/phi-2-gpo-renew2-b0.001-i0 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.0421
- Rewards/chosen: -0.0100
- Rewards/rejected: -0.0414
- Rewards/accuracies: 0.6015
- Rewards/margins: 0.0314
- Logps/rejected: -408.6569
- Logps/chosen: -406.3272
- Logits/rejected: -1.0065
- Logits/chosen: -1.0521
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0982 | 0.11 | 100 | 0.0526 | -0.0081 | -0.0101 | 0.5190 | 0.0020 | -377.3773 | -404.4459 | -0.7816 | -0.8697 |
| 0.0846 | 0.21 | 200 | 0.0485 | -0.0265 | -0.0402 | 0.5530 | 0.0137 | -407.4654 | -422.8199 | -0.9792 | -1.0427 |
| 0.0859 | 0.32 | 300 | 0.0464 | -0.0257 | -0.0460 | 0.5725 | 0.0203 | -413.2813 | -422.0490 | -1.0612 | -1.1154 |
| 0.0957 | 0.43 | 400 | 0.0443 | -0.0207 | -0.0481 | 0.5780 | 0.0274 | -415.3487 | -417.0023 | -1.0450 | -1.0984 |
| 0.068 | 0.53 | 500 | 0.0432 | -0.0067 | -0.0318 | 0.5955 | 0.0252 | -399.0811 | -402.9732 | -0.9791 | -1.0329 |
| 0.0847 | 0.64 | 600 | 0.0427 | -0.0050 | -0.0312 | 0.5945 | 0.0263 | -398.4744 | -401.2879 | -0.9837 | -1.0364 |
| 0.0519 | 0.75 | 700 | 0.0423 | -0.0082 | -0.0377 | 0.5905 | 0.0295 | -404.9791 | -404.5331 | -0.9872 | -1.0360 |
| 0.0742 | 0.85 | 800 | 0.0422 | -0.0105 | -0.0420 | 0.6000 | 0.0315 | -409.2462 | -406.8035 | -1.0109 | -1.0556 |
| 0.0768 | 0.96 | 900 | 0.0421 | -0.0100 | -0.0415 | 0.5930 | 0.0315 | -408.7397 | -406.3475 | -1.0050 | -1.0502 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2
- Library
- peft
- Type
- phi
- License
- mit
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024