---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: lightblue/suzume-llama-3-8B-japanese
datasets:
- generator
model-index:
- name: suzume-llama-3-8B-financial
  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. -->

# suzume-llama-3-8B-financial

This model is a fine-tuned version of [lightblue/suzume-llama-3-8B-japanese](https://huggingface.co/lightblue/suzume-llama-3-8B-japanese) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6995

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2292        | 1.0   | 1    | 1.9473          |
| 0.8743        | 2.0   | 2    | 1.7062          |
| 0.633         | 3.0   | 3    | 1.6281          |
| 0.4712        | 4.0   | 4    | 1.6017          |
| 0.3204        | 5.0   | 5    | 1.6995          |


### Framework versions

- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1