---
library_name: peft
license: llama3
base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: bf533530-9008-4bdb-9642-3e2a01e94faf
  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>

# bf533530-9008-4bdb-9642-3e2a01e94faf

This model is a fine-tuned version of [scb10x/llama-3-typhoon-v1.5-8b-instruct](https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0387

## 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: 0.000218
- 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    | 2.9220          |
| 2.1124        | 0.0180 | 50   | 2.3514          |
| 2.1276        | 0.0361 | 100  | 2.3574          |
| 2.0478        | 0.0541 | 150  | 2.2885          |
| 2.0427        | 0.0722 | 200  | 2.2128          |
| 2.0229        | 0.0902 | 250  | 2.1969          |
| 2.0386        | 0.1082 | 300  | 2.1419          |
| 2.0051        | 0.1263 | 350  | 2.0811          |
| 2.0085        | 0.1443 | 400  | 2.0444          |
| 1.9234        | 0.1624 | 450  | 2.0357          |
| 1.813         | 0.1804 | 500  | 2.0387          |


### Framework versions

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