---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mnoukhov/pythia410m-sft-tldr
model-index:
- name: pythia410m-dpo-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-dpo-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: 0.5395
- Rewards/chosen: -1.3883
- Rewards/rejected: -1.9858
- Rewards/accuracies: 0.7226
- Rewards/margins: 0.5975
- Logps/rejected: -98.0320
- Logps/chosen: -98.0320
- 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 | Logps/chosen | Logps/ref Chosen | Logps/ref Rejected | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:------------:|:----------------:|:------------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.5961        | 0.2   | 291  | -93.0907     | -70.2656         | -63.5119           | -93.0907       | 0.5659          | 0.7036             | -1.1413        | 0.4667          | -1.6079          |
| 0.5574        | 0.4   | 582  | 0.5405       | -1.6195          | -2.2373            | 0.7216         | 0.6178          | -102.6558          | -102.6558      | -63.5119        | -70.2656         |
| 0.5418        | 0.6   | 873  | 0.5373       | -1.4908          | -2.1191            | 0.7226         | 0.6283          | -100.0813          | -100.0813      | -63.5119        | -70.2656         |
| 0.5339        | 0.8   | 1164 | 0.5395       | -1.3883          | -1.9858            | 0.7226         | 0.5975          | -98.0320           | -98.0320       | -63.5119        | -70.2656         |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2