---
license: mit
base_model: EleutherAI/gpt-neo-125m
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: gpt-neo-125m_hh_reward
  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. -->

# gpt-neo-125m_hh_reward

This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7503
- Rewards/chosen: -4.2523
- Rewards/rejected: -4.3731
- Rewards/accuracies: 0.5625
- Rewards/margins: 0.1208
- Logps/rejected: -168.5040
- Logps/chosen: -147.3926
- Logits/rejected: -11.6528
- Logits/chosen: -11.5062

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 4050

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.8022        | 0.2   | 2000 | 0.7737          | -4.8718        | -5.0523          | 0.5724             | 0.1805          | -175.2956      | -153.5872    | -11.7730        | -11.6673      |
| 0.7336        | 0.4   | 4000 | 0.7503          | -4.2523        | -4.3731          | 0.5625             | 0.1208          | -168.5040      | -147.3926    | -11.6528        | -11.5062      |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2