---
base_model: scb10x/typhoon-7b
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: local_model_directory
  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. -->

# local_model_directory

This model is a fine-tuned version of [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4505

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.0407        | 0.9524 | 5    | 4.8168          |
| 3.5268        | 1.9048 | 10   | 2.1234          |
| 1.9397        | 2.8571 | 15   | 1.2800          |
| 1.0223        | 4.0    | 21   | 0.7717          |
| 0.8135        | 4.9524 | 26   | 0.5757          |
| 0.6574        | 5.9048 | 31   | 0.5178          |
| 0.5833        | 6.8571 | 36   | 0.4854          |
| 0.4549        | 8.0    | 42   | 0.4494          |
| 0.5012        | 8.9524 | 47   | 0.4294          |
| 0.514         | 9.9048 | 52   | 0.4505          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1