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---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed
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
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: 0.7414
- Recall Micro: 0.6649
- Precision Micro: 0.8378
- F1 Macro: 0.1869
- Recall Macro: 0.1816
- Precision Macro: 0.1949
## 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 | 0.0156 | 0.7286 | 0.6544 | 0.8219 | 0.1709 | 0.1813 | 0.1667 |
| 0.1321 | 2.0 | 746 | 0.0124 | 0.7387 | 0.6563 | 0.8448 | 0.1711 | 0.1599 | 0.1889 |
| 0.0134 | 3.0 | 1119 | 0.0126 | 0.7290 | 0.6488 | 0.8319 | 0.1842 | 0.1897 | 0.1866 |
| 0.0134 | 4.0 | 1492 | 0.0119 | 0.7490 | 0.6859 | 0.8248 | 0.1820 | 0.1644 | 0.2081 |
| 0.0105 | 5.0 | 1865 | 0.0119 | 0.7414 | 0.6649 | 0.8378 | 0.1869 | 0.1816 | 0.1949 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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