---
library_name: transformers
license: llama3.1
base_model: OpenLeecher/llama_8b_lima_11
tags:
- trl
- dpo
- llama-factory
- generated_from_trainer
model-index:
- name: llama_8b_lima_11_dpo
  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. -->

# llama_8b_lima_11_dpo

This model is a fine-tuned version of [OpenLeecher/llama_8b_lima_11](https://huggingface.co/OpenLeecher/llama_8b_lima_11) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5851
- Rewards/chosen: -0.4629
- Rewards/rejected: -7.1735
- Rewards/accuracies: 0.9500
- Rewards/margins: 6.7106
- Logps/rejected: -539.3364
- Logps/chosen: -1185.7501
- Logits/rejected: -1.0965
- Logits/chosen: -1.1222

## 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: 2e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 20
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7617        | 0.2972 | 90   | 0.7245          | -0.7682        | -5.6994          | 0.9000             | 4.9312          | -490.1999      | -1195.9271   | -1.1052         | -1.1403       |
| 0.7151        | 0.5945 | 180  | 0.6198          | -0.4894        | -6.6033          | 0.9100             | 6.1140          | -520.3312      | -1186.6332   | -1.1077         | -1.1366       |
| 0.6943        | 0.8917 | 270  | 0.5851          | -0.4629        | -7.1735          | 0.9500             | 6.7106          | -539.3364      | -1185.7501   | -1.0965         | -1.1222       |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.20.1