---
library_name: peft
license: apache-2.0
base_model: dltjdgh0928/test_instruction
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 76a390d5-27b8-48b3-9774-197460f5576a
  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# 76a390d5-27b8-48b3-9774-197460f5576a

This model is a fine-tuned version of [dltjdgh0928/test_instruction](https://huggingface.co/dltjdgh0928/test_instruction) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0663

## 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: 0.000212
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0004 | 1    | 0.7006          |
| 0.3177        | 0.0224 | 50   | 0.2272          |
| 0.5017        | 0.0448 | 100  | 0.2085          |
| 0.3504        | 0.0671 | 150  | 0.1680          |
| 0.2774        | 0.0895 | 200  | 0.1511          |
| 0.2238        | 0.1119 | 250  | 0.1377          |
| 0.2196        | 0.1343 | 300  | 0.1065          |
| 0.1634        | 0.1567 | 350  | 0.0886          |
| 0.1763        | 0.1791 | 400  | 0.0740          |
| 0.1787        | 0.2014 | 450  | 0.0684          |
| 0.1681        | 0.2238 | 500  | 0.0663          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1