---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: SingPurcBERT-Katch-0329-v2
  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. -->

# SingPurcBERT-Katch-0329-v2

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4923
- Accuracy: 0.7693
- F1: 0.7689

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4756        | 1.0   | 2522  | 0.4923          | 0.7693   | 0.7689 |
| 0.4137        | 2.0   | 5044  | 0.5065          | 0.7908   | 0.7906 |
| 0.388         | 3.0   | 7566  | 0.5142          | 0.7985   | 0.7985 |
| 0.3482        | 4.0   | 10088 | 0.6883          | 0.7971   | 0.7971 |
| 0.349         | 5.0   | 12610 | 0.8783          | 0.7908   | 0.7904 |
| 0.3124        | 6.0   | 15132 | 0.8833          | 0.7865   | 0.7864 |
| 0.2986        | 7.0   | 17654 | 0.9290          | 0.7880   | 0.7880 |
| 0.2404        | 8.0   | 20176 | 1.1548          | 0.7847   | 0.7846 |
| 0.2243        | 9.0   | 22698 | 1.2760          | 0.7837   | 0.7836 |
| 0.1488        | 10.0  | 25220 | 1.3746          | 0.7831   | 0.7830 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1