---
library_name: peft
license: llama3.1
base_model: aisingapore/Llama-SEA-LION-v3.5-8B-R
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Llama-SEA-LION-v3.5-8B-R_sft_sg_values
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-SEA-LION-v3.5-8B-R_sft_sg_values

This model is a fine-tuned version of [aisingapore/Llama-SEA-LION-v3.5-8B-R](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R) on the sft_sg_values dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1549

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3254        | 0.1869 | 250  | 0.2763          |
| 0.2079        | 0.3738 | 500  | 0.1980          |
| 0.1729        | 0.5607 | 750  | 0.1705          |
| 0.1551        | 0.7477 | 1000 | 0.1585          |
| 0.1371        | 0.9346 | 1250 | 0.1560          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1