---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-multilingual-cased-FakeNews-Dravidian-finalwithPP
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-multilingual-cased-FakeNews-Dravidian-finalwithPP

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0037
- Accuracy: 0.9988
- Weighted f1 score: 0.9988
- Macro f1 score: 0.9988

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 score | Macro f1 score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:--------------:|
| 0.5233        | 1.0   | 255  | 0.2997          | 0.8675   | 0.8658            | 0.8657         |
| 0.3129        | 2.0   | 510  | 0.1543          | 0.9595   | 0.9595            | 0.9595         |
| 0.2039        | 3.0   | 765  | 0.0733          | 0.9840   | 0.9840            | 0.9840         |
| 0.1254        | 4.0   | 1020 | 0.0608          | 0.9853   | 0.9853            | 0.9853         |
| 0.0885        | 5.0   | 1275 | 0.0419          | 0.9902   | 0.9902            | 0.9902         |
| 0.0607        | 6.0   | 1530 | 0.0267          | 0.9914   | 0.9914            | 0.9914         |
| 0.031         | 7.0   | 1785 | 0.0098          | 0.9975   | 0.9975            | 0.9975         |
| 0.0245        | 8.0   | 2040 | 0.0061          | 0.9975   | 0.9975            | 0.9975         |
| 0.0176        | 9.0   | 2295 | 0.0044          | 0.9988   | 0.9988            | 0.9988         |
| 0.012         | 10.0  | 2550 | 0.0037          | 0.9988   | 0.9988            | 0.9988         |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.1