---
library_name: peft
license: llama3
base_model: elyza/Llama-3-ELYZA-JP-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 75415c41-3378-4a4f-bb99-bc7f331bb87a
  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>

# 75415c41-3378-4a4f-bb99-bc7f331bb87a

This model is a fine-tuned version of [elyza/Llama-3-ELYZA-JP-8B](https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2875

## 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: 0.000202
- 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        | 0.0001 | 1    | 2.1965          |
| 1.6766        | 0.0069 | 50   | 1.5489          |
| 1.5601        | 0.0138 | 100  | 1.4704          |
| 1.591         | 0.0207 | 150  | 1.4512          |
| 1.4707        | 0.0276 | 200  | 1.4301          |
| 1.5985        | 0.0345 | 250  | 1.4250          |
| 1.4879        | 0.0414 | 300  | 1.3671          |
| 1.4722        | 0.0483 | 350  | 1.3291          |
| 1.4644        | 0.0552 | 400  | 1.3032          |
| 1.4561        | 0.0621 | 450  | 1.2888          |
| 1.4312        | 0.0690 | 500  | 1.2875          |


### Framework versions

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