---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: allenai/tulu-2-13b
model-index:
- name: tulu2-13b-cost-UI-UF-7bjudge
  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-UI-UF-7bjudge

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: 0.6924
- Rewards/chosen: 0.0238
- Rewards/rejected: 0.0217
- Rewards/accuracies: 0.5640
- Rewards/margins: 0.0021
- Rewards/margins Max: 0.0393
- Rewards/margins Min: -0.0362
- Rewards/margins Std: 0.0335
- Logps/rejected: -313.6311
- Logps/chosen: -321.7533
- Logits/rejected: -1.0117
- Logits/chosen: -1.1541

## 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: 1
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6643        | 1.0   | 1350 | 0.6924          | 0.0238         | 0.0217           | 0.5640             | 0.0021          | 0.0393              | -0.0362             | 0.0335              | -313.6311      | -321.7533    | -1.0117         | -1.1541       |


### Framework versions

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