---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231005-3-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. -->

# 20231005-3-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: 0.6077
- Loss: 1.7371

## 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 |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.9237        | 1.82  | 200  | 0.4526   | 2.4628          |
| 2.3796        | 3.64  | 400  | 0.4668   | 2.4166          |
| 2.2074        | 5.45  | 600  | 0.5011   | 2.1639          |
| 2.1154        | 7.27  | 800  | 0.5333   | 1.9224          |
| 1.9577        | 9.09  | 1000 | 0.5607   | 1.8915          |
| 1.8846        | 10.91 | 1200 | 0.6009   | 1.5682          |
| 1.8251        | 12.73 | 1400 | 0.6024   | 1.6171          |
| 1.7344        | 14.55 | 1600 | 0.5923   | 1.6795          |
| 1.7236        | 16.36 | 1800 | 0.6191   | 1.5585          |
| 1.7099        | 18.18 | 2000 | 0.6241   | 1.6113          |
| 1.6309        | 20.0  | 2200 | 0.6077   | 1.7371          |


### Framework versions

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