---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Improved-bert-multilingual-nodropout
  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. -->

# Improved-bert-multilingual-nodropout

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0144
- Accuracy: 0.76

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6855        | 0.55  | 50   | 0.6606          | 0.61     |
| 0.5737        | 1.1   | 100  | 0.5402          | 0.74     |
| 0.4677        | 1.65  | 150  | 0.5966          | 0.67     |
| 0.3866        | 2.2   | 200  | 0.5778          | 0.69     |
| 0.3414        | 2.75  | 250  | 0.4483          | 0.8      |
| 0.3047        | 3.3   | 300  | 0.7158          | 0.68     |
| 0.2366        | 3.85  | 350  | 0.6137          | 0.77     |
| 0.2188        | 4.4   | 400  | 0.5294          | 0.77     |
| 0.2191        | 4.95  | 450  | 0.6734          | 0.73     |
| 0.1935        | 5.49  | 500  | 0.6588          | 0.8      |
| 0.1707        | 6.04  | 550  | 1.0354          | 0.65     |
| 0.1216        | 6.59  | 600  | 0.9658          | 0.69     |
| 0.1093        | 7.14  | 650  | 1.0317          | 0.69     |
| 0.1099        | 7.69  | 700  | 0.9484          | 0.71     |
| 0.1128        | 8.24  | 750  | 1.0144          | 0.76     |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1