---
library_name: peft
tags:
- generated_from_trainer
base_model: sophiex/pythia-1b-sft_hh_rlhf
model-index:
- name: dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx
  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. -->

# dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx

This model is a fine-tuned version of [sophiex/pythia-1b-sft_hh_rlhf](https://huggingface.co/sophiex/pythia-1b-sft_hh_rlhf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6581
- Rewards/chosen: -0.1633
- Rewards/rejected: -0.3103
- Rewards/accuracies: 0.5971
- Rewards/margins: 0.1470
- Logps/rejected: -160.0996
- Logps/chosen: -160.0996

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|
| 0.6931        | 0.0   | 1    | 0.6931          | 0.0            | 0.0              | 0.0                | 0.0             | -158.4665      | -158.4665    |
| 0.6701        | 0.2   | 503  | 0.6745          | -0.0602        | -0.1382          | 0.5734             | 0.0779          | -159.0690      | -159.0690    |
| 0.6624        | 0.4   | 1006 | 0.6670          | -0.0864        | -0.1939          | 0.5862             | 0.1075          | -159.3303      | -159.3303    |
| 0.6587        | 0.6   | 1509 | 0.6612          | -0.1043        | -0.2301          | 0.5891             | 0.1259          | -159.5091      | -159.5091    |
| 0.6511        | 0.8   | 2012 | 0.6581          | -0.1633        | -0.3103          | 0.5971             | 0.1470          | -160.0996      | -160.0996    |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2