---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed-with-tpl
  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. -->

# bartpho-word-base-ed-with-tpl

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: 0.0290
- F1 Micro: 0.8028
- Recall Micro: 0.7998
- Precision Micro: 0.8058
- F1 Macro: 0.5871
- Recall Macro: 0.6278
- Precision Macro: 0.5995

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
| No log        | 0.9987 | 393  | 0.0357          | 0.8039   | 0.8063       | 0.8016          | 0.5247   | 0.4945       | 0.6251          |
| 0.0066        | 2.0    | 787  | 0.0329          | 0.7708   | 0.7553       | 0.7869          | 0.5412   | 0.5687       | 0.5780          |
| 0.0089        | 2.9987 | 1180 | 0.0288          | 0.7958   | 0.7919       | 0.7996          | 0.5812   | 0.6155       | 0.5868          |
| 0.0116        | 4.0    | 1574 | 0.0280          | 0.8018   | 0.8007       | 0.8030          | 0.5702   | 0.5968       | 0.5947          |
| 0.0116        | 4.9936 | 1965 | 0.0290          | 0.8028   | 0.7998       | 0.8058          | 0.5871   | 0.6278       | 0.5995          |


### Framework versions

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