---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231005-2-bert-base-multilingual-cased-new
  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. -->

# 20231005-2-bert-base-multilingual-cased-new

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:
- Accuracy: 0.6479
- Loss: 1.6281

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.8918        | 1.82  | 200  | 0.4038   | 2.4903          |
| 2.3882        | 3.64  | 400  | 0.4978   | 2.2096          |
| 2.1785        | 5.45  | 600  | 0.4934   | 1.9995          |
| 2.0686        | 7.27  | 800  | 0.5386   | 2.0103          |
| 1.9575        | 9.09  | 1000 | 0.5243   | 2.1245          |
| 1.8828        | 10.91 | 1200 | 0.5932   | 1.7872          |
| 1.8112        | 12.73 | 1400 | 0.6204   | 1.4894          |
| 1.7449        | 14.55 | 1600 | 0.5978   | 1.7968          |
| 1.6916        | 16.36 | 1800 | 0.6253   | 1.6254          |
| 1.6763        | 18.18 | 2000 | 0.6377   | 1.4638          |
| 1.6459        | 20.0  | 2200 | 0.6479   | 1.6281          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0