|
--- |
|
base_model: vinai/phobert-base-v2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: PhoBERT-Final_Mixed-aug_replace_synonym-1 |
|
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. --> |
|
|
|
# PhoBERT-Final_Mixed-aug_replace_synonym-1 |
|
|
|
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1974 |
|
- Accuracy: 0.68 |
|
- F1: 0.6775 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 41 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| 0.9517 | 1.0 | 87 | 0.7514 | 0.66 | 0.6270 | |
|
| 0.67 | 2.0 | 174 | 0.7394 | 0.69 | 0.6814 | |
|
| 0.4899 | 3.0 | 261 | 0.7871 | 0.69 | 0.6812 | |
|
| 0.3787 | 4.0 | 348 | 0.8098 | 0.7 | 0.6957 | |
|
| 0.2649 | 5.0 | 435 | 0.9906 | 0.71 | 0.7045 | |
|
| 0.2069 | 6.0 | 522 | 1.0679 | 0.69 | 0.6886 | |
|
| 0.1483 | 7.0 | 609 | 1.1639 | 0.67 | 0.6669 | |
|
| 0.119 | 8.0 | 696 | 1.1974 | 0.68 | 0.6775 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
