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---
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
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