---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MAL-10epoch-BertMul
  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. -->

# MAL-10epoch-BertMul

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: 1.3481
- Accuracy: 0.6207

## 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: 10
- eval_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 9    | 1.2016          | 0.4310   |
| No log        | 2.0   | 18   | 1.1152          | 0.6897   |
| No log        | 3.0   | 27   | 1.2304          | 0.6379   |
| No log        | 4.0   | 36   | 1.2419          | 0.5345   |
| No log        | 5.0   | 45   | 1.2358          | 0.6552   |
| No log        | 6.0   | 54   | 1.3296          | 0.5517   |
| No log        | 7.0   | 63   | 1.3836          | 0.6034   |
| No log        | 8.0   | 72   | 1.3849          | 0.6034   |
| No log        | 9.0   | 81   | 1.3630          | 0.6034   |
| No log        | 10.0  | 90   | 1.3481          | 0.6207   |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1