---
license: llama3.1
base_model: RyanYr/reward-judge_iter-dpo-genRM_pilot-exp_iter1
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: reward-judge_iter-dpo-genRM_pilot-exp_iter2
  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. -->

# reward-judge_iter-dpo-genRM_pilot-exp_iter2

This model is a fine-tuned version of [RyanYr/reward-judge_iter-dpo-genRM_pilot-exp_iter1](https://huggingface.co/RyanYr/reward-judge_iter-dpo-genRM_pilot-exp_iter1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2833
- Rewards/chosen: 0.6682
- Rewards/rejected: -1.6351
- Rewards/accuracies: 0.9200
- Rewards/margins: 2.3033
- Logps/rejected: -185.4352
- Logps/chosen: -206.2261
- Logits/rejected: -0.7883
- Logits/chosen: -0.6863

## 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: 2e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4758        | 0.9370 | 75   | 0.5220          | 1.9179         | 0.8606           | 0.8400             | 1.0573          | -160.4774      | -193.7286    | -0.7280         | -0.6243       |
| 0.2866        | 1.8739 | 150  | 0.2833          | 0.6682         | -1.6351          | 0.9200             | 2.3033          | -185.4352      | -206.2261    | -0.7883         | -0.6863       |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1