---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: model_all
  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. -->

# model_all

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: 1.4240
- Accuracy: 0.7937
- F1: 0.7937
- Precision: 0.7937
- Recall: 0.7937

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.9958        | 1.0   | 753  | 1.0623          | 0.6951   | 0.6951 | 0.6951    | 0.6951 |
| 0.3471        | 2.0   | 1506 | 1.0435          | 0.7579   | 0.7579 | 0.7579    | 0.7579 |
| 0.1329        | 3.0   | 2259 | 1.1884          | 0.7844   | 0.7844 | 0.7844    | 0.7844 |
| 0.0612        | 4.0   | 3012 | 1.3113          | 0.7851   | 0.7851 | 0.7851    | 0.7851 |
| 0.0263        | 5.0   | 3765 | 1.4240          | 0.7937   | 0.7937 | 0.7937    | 0.7937 |
| 0.0237        | 6.0   | 4518 | 1.5578          | 0.7824   | 0.7824 | 0.7824    | 0.7824 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0