---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mnoukhov/pythia410m-sft-tldr
model-index:
- name: pythia410m-dpo-tldr-lr1e-5
  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-lr1e-5

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: 0.5595
- Rewards/chosen: -0.9059
- Rewards/rejected: -1.3735
- Rewards/accuracies: 0.7113
- Rewards/margins: 0.4677
- Logps/rejected: -88.3830
- Logps/chosen: -88.3830
- 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:|
| 0.6295        | 0.2   | 291  | 0.5864          | -0.5101        | -0.8319          | 0.7039             | 0.3218          | -80.4685       | -80.4685     | -63.5119           | -70.2656         |
| 0.5926        | 0.4   | 582  | 0.5600          | -0.9009        | -1.3738          | 0.7120             | 0.4728          | -88.2839       | -88.2839     | -63.5119           | -70.2656         |
| 0.5761        | 0.6   | 873  | 0.5585          | -0.9509        | -1.4326          | 0.7110             | 0.4817          | -89.2846       | -89.2846     | -63.5119           | -70.2656         |
| 0.5678        | 0.8   | 1164 | 0.5595          | -0.9059        | -1.3735          | 0.7113             | 0.4677          | -88.3830       | -88.3830     | -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