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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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