|
--- |
|
library_name: transformers |
|
license: other |
|
base_model: Qwen/Qwen2.5-3B-Instruct |
|
tags: |
|
- trl |
|
- reward-trainer |
|
- generated_from_trainer |
|
model-index: |
|
- name: Qwen2.5-3B-MP-RM |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Qwen2.5-3B-MP-RM |
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the [iqwiki-kor/MP-86k](https://huggingface.co/datasets/iqwiki-kor/MP-86k) dataset. |
|
|
|
## RewardBench Evaluation |
|
| Model | Chat | Chat-Hard | Safety | Reasoning | Avg. | |
|
|-----------------------------------------------------------------------------------------------------|---------:|-------:|------:|--------:|--------:| |
|
| [iqwiki-kor/Qwen2.5-3B-MP-RM](https://huggingface.co/iqwiki-kor/Qwen2.5-3B-MP-RM) |89.1| 75.2| 87.3| 95.4| 86.8| |
|
| [RLHFlow/ArmoRM-Llama3-8B-v0.1](https://huggingface.co/RLHFlow/ArmoRM-Llama3-8B-v0.1) |96.9 |76.8 |90.5 |97.3 |90.4| |
|
|
|
|
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 32 |
|
- 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 |
|
|
|
|
