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

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: 0.0244
- F1 Micro: 0.7951
- Recall Micro: 0.7948
- Precision Micro: 0.7954
- F1 Macro: 0.5879
- Recall Macro: 0.6260
- Precision Macro: 0.5898

## 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  | 0.0279          | 0.7863   | 0.8013       | 0.7719          | 0.4822   | 0.5178       | 0.5229          |
| 0.1583        | 2.0    | 787  | 0.0262          | 0.7742   | 0.7654       | 0.7832          | 0.5473   | 0.6047       | 0.5268          |
| 0.0243        | 2.9987 | 1180 | 0.0238          | 0.7997   | 0.8058       | 0.7937          | 0.5581   | 0.5740       | 0.6036          |
| 0.0191        | 4.0    | 1574 | 0.0234          | 0.8045   | 0.8061       | 0.8030          | 0.5668   | 0.5815       | 0.6041          |
| 0.0191        | 4.9936 | 1965 | 0.0244          | 0.7951   | 0.7948       | 0.7954          | 0.5879   | 0.6260       | 0.5898          |


### Framework versions

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