---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed-multi
  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-multi

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: 0.0119
- F1 Micro: 0.7410
- Recall Micro: 0.6625
- Precision Micro: 0.8405
- F1 Macro: 0.1860
- Recall Macro: 0.1842
- Precision Macro: 0.1913

## 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        | 1.0   | 373  | 0.0157          | 0.7226   | 0.6524       | 0.8096          | 0.1610   | 0.1642       | 0.1658          |
| 0.1287        | 2.0   | 746  | 0.0127          | 0.7332   | 0.6505       | 0.8399          | 0.1715   | 0.1628       | 0.1853          |
| 0.0132        | 3.0   | 1119 | 0.0130          | 0.7253   | 0.6411       | 0.8351          | 0.1860   | 0.2003       | 0.1825          |
| 0.0132        | 4.0   | 1492 | 0.0118          | 0.7422   | 0.6782       | 0.8195          | 0.1746   | 0.1612       | 0.1978          |
| 0.0104        | 5.0   | 1865 | 0.0119          | 0.7410   | 0.6625       | 0.8405          | 0.1860   | 0.1842       | 0.1913          |


### Framework versions

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