---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mnoukhov/pythia410m-sft-tldr
model-index:
- name: pythia410m-dpo2-tldr
  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. -->

# pythia410m-dpo2-tldr

This model is a fine-tuned version of [mnoukhov/pythia410m-sft-tldr](https://huggingface.co/mnoukhov/pythia410m-sft-tldr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- Rewards/chosen: -3.4853
- Rewards/rejected: -3.6484
- Rewards/accuracies: 0.5844
- Rewards/margins: 0.1631
- Logps/rejected: -139.9715
- Logps/chosen: -139.9715
- Logps/ref Rejected: -63.5119
- Logps/ref Chosen: -70.2656

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logps/ref Rejected | Logps/ref Chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:|
| No log        | 0.2016 | 63   | 0.6557          | -1.8039        | -1.9472          | 0.6162             | 0.1434          | -106.3432      | -106.3432    | -63.5119           | -70.2656         |
| 0.4864        | 0.4032 | 126  | 0.6728          | -2.6758        | -2.8365          | 0.5972             | 0.1608          | -123.7810      | -123.7810    | -63.5119           | -70.2656         |
| 0.4864        | 0.6048 | 189  | 0.6833          | -3.3025        | -3.4756          | 0.5913             | 0.1731          | -136.3158      | -136.3158    | -63.5119           | -70.2656         |
| 0.3802        | 0.8064 | 252  | 0.6932          | -3.4853        | -3.6484          | 0.5844             | 0.1631          | -139.9715      | -139.9715    | -63.5119           | -70.2656         |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1