|
--- |
|
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 |
|
|
