---
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: 0.6553
- Rewards/chosen: -0.0115
- Rewards/rejected: -0.0984
- Rewards/accuracies: 0.6726
- Rewards/margins: 0.0869
- Logps/rejected: -65.8898
- Logps/chosen: -65.8898
- Logps/ref Rejected: -59.5615
- Logps/ref Chosen: -65.6594

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- 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 | Logps/ref Rejected | Logps/ref Chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:|
| No log        | 0.2016 | 63   | 0.6719          | 0.0165         | -0.0292          | 0.6739             | 0.0457          | -65.3302       | -65.3302     | -59.5615           | -65.6594         |
| 0.6865        | 0.4032 | 126  | 0.6614          | 0.0030         | -0.0680          | 0.6752             | 0.0710          | -65.5994       | -65.5994     | -59.5615           | -65.6594         |
| 0.6865        | 0.6048 | 189  | 0.6571          | -0.0046        | -0.0866          | 0.6744             | 0.0820          | -65.7515       | -65.7515     | -59.5615           | -65.6594         |
| 0.6771        | 0.8064 | 252  | 0.6553          | -0.0115        | -0.0984          | 0.6726             | 0.0869          | -65.8898       | -65.8898     | -59.5615           | -65.6594         |


### Framework versions

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