---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: bert-base-fine-tuned-text-classificarion-ds
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-fine-tuned-text-classificarion-ds

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: 0.7043
- F1: 0.8593
- Recall: 0.9046
- Accuracy: 0.9046
- Precision: 0.8183

## 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: 0.0001
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Accuracy | Precision |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
| 0.2575        | 1.0   | 1195 | 0.6712          | 0.8593 | 0.9046 | 0.9046   | 0.8183    |
| 0.2478        | 2.0   | 2390 | 0.6663          | 0.8593 | 0.9046 | 0.9046   | 0.8183    |
| 0.254         | 3.0   | 3585 | 0.6704          | 0.8593 | 0.9046 | 0.9046   | 0.8183    |
| 0.2905        | 4.0   | 4780 | 0.6748          | 0.8593 | 0.9046 | 0.9046   | 0.8183    |
| 0.2531        | 5.0   | 5975 | 0.7043          | 0.8593 | 0.9046 | 0.9046   | 0.8183    |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3