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PairRM-V2-phi3-3-mini-unified-feedback
DongfuJiang/PairRM-V2-phi3-3-mini-unified-feedback
PairRM-V2-phi3-3-mini-unified-feedback is a machine learning model from DongfuJiang. 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
- Access
- Public
- Created
- Jul 30, 2024
- Updated
- Jul 30, 2024
- SHA
- 3627ed8d
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. -->
PairRM-V2-phi3-3-mini-unified-feedback
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the all dataset. It achieves the following results on the evaluation set:
- Loss: 0.2755
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3099 | 0.3245 | 500 | 0.3066 |
| 0.3073 | 0.6490 | 1000 | 0.2901 |
| 0.263 | 0.9736 | 1500 | 0.2846 |
| 0.2822 | 1.2981 | 2000 | 0.2831 |
| 0.2693 | 1.6226 | 2500 | 0.2787 |
| 0.2741 | 1.9471 | 3000 | 0.2778 |
| 0.2869 | 2.2716 | 3500 | 0.2762 |
| 0.2339 | 2.5961 | 4000 | 0.2756 |
| 0.2879 | 2.9207 | 4500 | 0.2755 |
Framework versions
- PEFT 0.11.1
- Transformers 4.43.1
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Jul 30, 2024
- Updated
- Jul 30, 2024