---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: phobert-v2-finetune-hatespeech-kaggle
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phobert-v2-finetune-hatespeech-kaggle

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7815
- Accuracy: 0.8713

## 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: 1e-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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2035        | 1.0   | 2678  | 0.4716          | 0.8707   |
| 0.2372        | 2.0   | 5356  | 0.4366          | 0.8744   |
| 0.1986        | 3.0   | 8034  | 0.4618          | 0.8681   |
| 0.175         | 4.0   | 10712 | 0.5475          | 0.8749   |
| 0.1533        | 5.0   | 13390 | 0.6177          | 0.8720   |
| 0.1213        | 6.0   | 16068 | 0.6154          | 0.8735   |
| 0.1171        | 7.0   | 18746 | 0.6709          | 0.8739   |
| 0.096         | 8.0   | 21424 | 0.7336          | 0.8724   |
| 0.078         | 9.0   | 24102 | 0.7496          | 0.8688   |
| 0.0832        | 10.0  | 26780 | 0.7815          | 0.8713   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3