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---
library_name: transformers
license: agpl-3.0
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBert_Lexical_CITA
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_Lexical_CITA
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: 0.6532
- Accuracy: 0.787
- F1: 0.7861
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5527 | 1.0 | 250 | 0.4730 | 0.7735 | 0.7718 |
| 0.4624 | 2.0 | 500 | 0.4696 | 0.7705 | 0.7706 |
| 0.4065 | 3.0 | 750 | 0.4645 | 0.7805 | 0.7805 |
| 0.3483 | 4.0 | 1000 | 0.4764 | 0.7915 | 0.7916 |
| 0.3023 | 5.0 | 1250 | 0.5196 | 0.7905 | 0.7903 |
| 0.2612 | 6.0 | 1500 | 0.5294 | 0.793 | 0.7917 |
| 0.2304 | 7.0 | 1750 | 0.5682 | 0.788 | 0.7867 |
| 0.1985 | 8.0 | 2000 | 0.6258 | 0.791 | 0.7901 |
| 0.1776 | 9.0 | 2250 | 0.6364 | 0.786 | 0.7855 |
| 0.164 | 10.0 | 2500 | 0.6532 | 0.787 | 0.7861 |
### Framework versions
- Transformers 4.48.0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.21.0
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