---
base_model: google-bert/bert-base-multilingual-cased
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-bertMultilingual-cased
  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. -->

# fine-tuned-bertMultilingual-cased

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.4102
- eval_accuracy: {'accuracy': 0.79}
- eval_f1score: {'f1': 0.7708129196876928}
- eval_runtime: 8.7984
- eval_samples_per_second: 34.097
- eval_steps_per_second: 4.319
- step: 0

## 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
- lr_scheduler_warmup_steps: 65
- num_epochs: 20

### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1