---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_boss_mongkol
  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. -->

# exp_boss_mongkol

This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3283

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6493        | 1.0   | 306  | 0.6468          |
| 0.5945        | 2.0   | 612  | 0.6391          |
| 0.5368        | 3.0   | 918  | 0.5322          |
| 0.3295        | 4.0   | 1224 | 0.4335          |
| 0.3575        | 5.0   | 1530 | 0.4009          |
| 0.2772        | 6.0   | 1836 | 0.3509          |
| 0.3161        | 7.0   | 2142 | 0.3285          |
| 0.3384        | 8.0   | 2448 | 0.3348          |
| 0.3611        | 9.0   | 2754 | 0.3301          |
| 0.2944        | 10.0  | 3060 | 0.3283          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1