---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed-multi-v3
  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-multi-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: 0.0236
- F1 Micro: 0.7990
- Recall Micro: 0.7985
- Precision Micro: 0.7996
- F1 Macro: 0.6436
- Recall Macro: 0.6553
- Precision Macro: 0.6605

## 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  | 0.0267          | 0.7802   | 0.7647       | 0.7963          | 0.5052   | 0.4675       | 0.6180          |
| 0.1473        | 2.0    | 787  | 0.0268          | 0.7717   | 0.7827       | 0.7610          | 0.6187   | 0.6788       | 0.5931          |
| 0.0245        | 2.9987 | 1180 | 0.0232          | 0.7970   | 0.7898       | 0.8044          | 0.5962   | 0.5898       | 0.6782          |
| 0.0193        | 4.0    | 1574 | 0.0224          | 0.8015   | 0.7964       | 0.8066          | 0.6273   | 0.6125       | 0.6827          |
| 0.0193        | 4.9936 | 1965 | 0.0236          | 0.7990   | 0.7985       | 0.7996          | 0.6436   | 0.6553       | 0.6605          |


### Framework versions

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