---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: allenai/tulu-2-13b
model-index:
- name: tulu2-13b-cost-tulumix-5e-7
  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. -->

# tulu2-13b-cost-tulumix-5e-7

This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6918
- Rewards/chosen: 0.0232
- Rewards/rejected: 0.0200
- Rewards/accuracies: 0.5540
- Rewards/margins: 0.0032
- Rewards/margins Max: 0.0628
- Rewards/margins Min: -0.0598
- Rewards/margins Std: 0.0407
- Logps/rejected: -313.6658
- Logps/chosen: -322.6469
- Logits/rejected: -0.8946
- Logits/chosen: -1.0169

## 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: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6624        | 1.0   | 3174 | 0.6918          | 0.0232         | 0.0200           | 0.5540             | 0.0032          | 0.0628              | -0.0598             | 0.0407              | -313.6658      | -322.6469    | -0.8946         | -1.0169       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2