---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-train-aug_replace_w2v
  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-train-aug_replace_w2v

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: 1.1784
- Accuracy: 0.69
- F1: 0.6954

## 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: 42
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.91          | 1.0   | 84   | 0.7509          | 0.69     | 0.6518 |
| 0.6192        | 2.0   | 168  | 0.6326          | 0.76     | 0.7635 |
| 0.4457        | 3.0   | 252  | 0.6374          | 0.74     | 0.7464 |
| 0.3088        | 4.0   | 336  | 0.7942          | 0.71     | 0.7157 |
| 0.2422        | 5.0   | 420  | 0.8893          | 0.71     | 0.7165 |
| 0.1631        | 6.0   | 504  | 1.0951          | 0.7      | 0.7036 |
| 0.1408        | 7.0   | 588  | 1.1012          | 0.69     | 0.6982 |
| 0.1057        | 8.0   | 672  | 1.1784          | 0.69     | 0.6954 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3