---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed-with-tpl-ed-tpl-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bartpho-word-base-ed-with-tpl-ed-tpl-v3

This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0267
- F1 Micro: 0.8050
- Recall Micro: 0.8024
- Precision Micro: 0.8075

## 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: 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
- num_epochs: 8

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|
| No log        | 0.9987 | 393  | 0.0270          | 0.7861   | 0.7727       | 0.8000          |
| 0.0654        | 2.0    | 787  | 0.0262          | 0.7755   | 0.7798       | 0.7713          |
| 0.0247        | 2.9987 | 1180 | 0.0246          | 0.7892   | 0.7816       | 0.7969          |
| 0.0197        | 4.0    | 1574 | 0.0233          | 0.8078   | 0.7949       | 0.8210          |
| 0.0197        | 4.9987 | 1967 | 0.0235          | 0.8064   | 0.8018       | 0.8110          |
| 0.016         | 6.0    | 2361 | 0.0262          | 0.8027   | 0.7951       | 0.8104          |
| 0.0123        | 6.9987 | 2754 | 0.0261          | 0.8080   | 0.8067       | 0.8093          |
| 0.0102        | 7.9898 | 3144 | 0.0267          | 0.8050   | 0.8024       | 0.8075          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1