---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-2023-11-15-16-53
  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. -->

# bert-base-multilingual-cased-2023-11-15-16-53

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: 0.7909

## 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: 5e-05
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.411         | 0.59  | 500  | 1.2887          |
| 1.2513        | 1.19  | 1000 | 1.1391          |
| 1.1402        | 1.78  | 1500 | 1.0585          |
| 1.0788        | 2.38  | 2000 | 1.0004          |
| 1.019         | 2.97  | 2500 | 0.9653          |
| 0.9854        | 3.56  | 3000 | 0.9326          |
| 0.9523        | 4.16  | 3500 | 0.9079          |
| 0.9186        | 4.75  | 4000 | 0.8808          |
| 0.9174        | 5.34  | 4500 | 0.8652          |
| 0.8825        | 5.94  | 5000 | 0.8428          |
| 0.8668        | 6.53  | 5500 | 0.8274          |
| 0.8118        | 7.13  | 6000 | 0.8201          |
| 0.849         | 7.72  | 6500 | 0.8051          |
| 0.8478        | 8.31  | 7000 | 0.7989          |
| 0.8073        | 8.91  | 7500 | 0.7918          |
| 0.8365        | 9.5   | 8000 | 0.7845          |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.14.1