---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: comment_classification
  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. -->

# comment_classification

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: 0.4330
- Accuracy: 0.9236

## 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
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2653        | 1.0   | 18435 | 0.2584          | 0.9164   |
| 0.2189        | 2.0   | 36870 | 0.2269          | 0.9224   |
| 0.2005        | 3.0   | 55305 | 0.3377          | 0.9237   |
| 0.1359        | 4.0   | 73740 | 0.3729          | 0.9231   |
| 0.1131        | 5.0   | 92175 | 0.4330          | 0.9236   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2