---
library_name: peft
license: llama3
base_model: aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: bf2ce252-289d-4690-8f94-09cdeaf7ee33
  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>

# bf2ce252-289d-4690-8f94-09cdeaf7ee33

This model is a fine-tuned version of [aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct](https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9434

## 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: 0.000207
- 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        | 0.0015 | 1    | 2.5286          |
| 2.2296        | 0.0726 | 50   | 2.3830          |
| 2.1251        | 0.1451 | 100  | 2.3280          |
| 2.0485        | 0.2177 | 150  | 2.1815          |
| 2.0577        | 0.2903 | 200  | 2.1186          |
| 2.0216        | 0.3628 | 250  | 2.0796          |
| 1.9868        | 0.4354 | 300  | 2.0350          |
| 1.9566        | 0.5080 | 350  | 1.9907          |
| 1.8083        | 0.5806 | 400  | 1.9605          |
| 1.8876        | 0.6531 | 450  | 1.9460          |
| 1.8801        | 0.7257 | 500  | 1.9434          |


### Framework versions

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