|
--- |
|
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 |
|
|
