---
base_model: defog/llama-3-sqlcoder-8b
library_name: peft
license: cc-by-sa-4.0
tags:
- trl
- orpo
- generated_from_trainer
model-index:
- name: results
  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/sert121/huggingface/runs/ubrsk8hu)
# results

This model is a fine-tuned version of [defog/llama-3-sqlcoder-8b](https://huggingface.co/defog/llama-3-sqlcoder-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2568
- Rewards/chosen: -0.0126
- Rewards/rejected: -0.0217
- Rewards/accuracies: 0.8944
- Rewards/margins: 0.0091
- Logps/rejected: -0.2167
- Logps/chosen: -0.1258
- Logits/rejected: 0.1307
- Logits/chosen: 0.1283
- Nll Loss: 0.2132
- Log Odds Ratio: -0.4354
- Log Odds Chosen: 0.6768

## 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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.9481        | 0.2   | 72   | 0.9541          | -0.0776        | -0.0797          | 0.7143             | 0.0021          | -0.7975        | -0.7765      | -0.3031         | -0.3167       | 0.8875   | -0.6703        | 0.0480          |
| 0.7313        | 0.4   | 144  | 0.7089          | -0.0551        | -0.0596          | 0.8292             | 0.0045          | -0.5962        | -0.5513      | -0.1005         | -0.1135       | 0.6459   | -0.6312        | 0.1330          |
| 0.547         | 0.6   | 216  | 0.4407          | -0.0292        | -0.0367          | 0.8882             | 0.0075          | -0.3670        | -0.2924      | -0.0064         | -0.0109       | 0.3866   | -0.5408        | 0.3609          |
| 0.2547        | 0.8   | 288  | 0.3018          | -0.0164        | -0.0250          | 0.8882             | 0.0085          | -0.2498        | -0.1644      | 0.0633          | 0.0592        | 0.2551   | -0.4664        | 0.5805          |
| 0.3407        | 1.0   | 360  | 0.2568          | -0.0126        | -0.0217          | 0.8944             | 0.0091          | -0.2167        | -0.1258      | 0.1307          | 0.1283        | 0.2132   | -0.4354        | 0.6768          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.1
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1