---
library_name: peft
tags:
- trl
- dpo
- unsloth
- generated_from_trainer
base_model: hatakeyama-llm-team/with_halcination_little_codes_ck5200
model-index:
- name: dpo-lora-2
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/misdelivery/huggingface/runs/rscpty01)
# dpo-lora-2

This model is a fine-tuned version of [hatakeyama-llm-team/with_halcination_little_codes_ck5200](https://huggingface.co/hatakeyama-llm-team/with_halcination_little_codes_ck5200) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2400
- Rewards/chosen: 1.0314
- Rewards/rejected: -3.3152
- Rewards/accuracies: 0.7485
- Rewards/margins: 4.3466
- Logps/rejected: -324.0153
- Logps/chosen: -225.2345
- Logits/rejected: -0.1042
- Logits/chosen: 0.2104

## 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: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- 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 | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2789        | 0.32  | 100  | 0.2862          | 0.7314         | -2.0185          | 0.7407             | 2.7499          | -311.0483      | -228.2343    | 0.1715          | 0.3351        |
| 0.2351        | 0.64  | 200  | 0.2444          | 1.0416         | -3.0321          | 0.7534             | 4.0737          | -321.1842      | -225.1324    | -0.1048         | 0.1873        |
| 0.2457        | 0.96  | 300  | 0.2400          | 1.0314         | -3.3152          | 0.7485             | 4.3466          | -324.0153      | -225.2345    | -0.1042         | 0.2104        |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1