---
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: 0.9951

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.4249        | 0.2222 | 1    | 1.8524          |
| 1.9685        | 0.4444 | 2    | 1.5389          |
| 1.72          | 0.6667 | 3    | 1.4369          |
| 1.5908        | 0.8889 | 4    | 1.3468          |
| 1.4306        | 1.1111 | 5    | 1.2865          |
| 1.368         | 1.3333 | 6    | 1.2355          |
| 1.2995        | 1.5556 | 7    | 1.1926          |
| 1.2591        | 1.7778 | 8    | 1.1429          |
| 1.1882        | 2.0    | 9    | 1.1208          |
| 1.0992        | 2.2222 | 10   | 1.0954          |
| 1.0199        | 2.4444 | 11   | 1.0754          |
| 1.0231        | 2.6667 | 12   | 1.0629          |
| 0.9314        | 2.8889 | 13   | 1.0317          |
| 0.8405        | 3.1111 | 14   | 1.0161          |
| 0.7706        | 3.3333 | 15   | 1.0216          |
| 0.782         | 3.5556 | 16   | 1.0055          |
| 0.8002        | 3.7778 | 17   | 0.9985          |
| 0.7849        | 4.0    | 18   | 0.9908          |
| 0.6481        | 4.2222 | 19   | 1.0070          |
| 0.5567        | 4.4444 | 20   | 0.9951          |


### Framework versions

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