---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: allenai/tulu-2-7b
model-index:
- name: tulu2-7b-cost-UF-UI-5e-6
  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. -->

# tulu2-7b-cost-UF-UI-5e-6

This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8997
- Rewards/chosen: -4.7706
- Rewards/rejected: -5.6615
- Rewards/accuracies: 0.5878
- Rewards/margins: 0.8909
- Rewards/margins Max: 6.0317
- Rewards/margins Min: -2.9258
- Rewards/margins Std: 2.9022
- Logps/rejected: -885.2386
- Logps/chosen: -815.3665
- Logits/rejected: 1.3503
- Logits/chosen: 1.1567

## 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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0983        | 1.0   | 2428 | 0.8997          | -4.7706        | -5.6615          | 0.5878             | 0.8909          | 6.0317              | -2.9258             | 2.9022              | -885.2386      | -815.3665    | 1.3503          | 1.1567        |


### Framework versions

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