---
library_name: peft
license: apache-2.0
base_model: heegyu/WizardVicuna-open-llama-3b-v2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: b0417515-f9e6-4ef6-bba5-c3542aa0139f
  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>

# b0417515-f9e6-4ef6-bba5-c3542aa0139f

This model is a fine-tuned version of [heegyu/WizardVicuna-open-llama-3b-v2](https://huggingface.co/heegyu/WizardVicuna-open-llama-3b-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9573

## 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: 0.000201
- 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    | 2.9044          |
| 2.1977        | 0.0180 | 50   | 2.3285          |
| 2.1461        | 0.0360 | 100  | 2.2165          |
| 2.068         | 0.0540 | 150  | 2.1610          |
| 2.0445        | 0.0721 | 200  | 2.1003          |
| 1.9553        | 0.0901 | 250  | 2.0650          |
| 1.8413        | 0.1081 | 300  | 2.0259          |
| 1.8631        | 0.1261 | 350  | 1.9985          |
| 1.8504        | 0.1441 | 400  | 1.9718          |
| 1.8513        | 0.1621 | 450  | 1.9626          |
| 1.8913        | 0.1801 | 500  | 1.9573          |


### Framework versions

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