---
library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_keras_callback
model-index:
- name: multiclassclassification
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# multiclassclassification

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:
- Train Loss: 0.2109
- Train Accuracy: 0.9640
- Validation Loss: 0.1246
- Validation Accuracy: 0.9791
- Epoch: 6

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 4.3108     | 0.1497         | 3.3191          | 0.2857              | 0     |
| 2.7219     | 0.4440         | 1.7910          | 0.6764              | 1     |
| 1.5252     | 0.7185         | 0.8825          | 0.8578              | 2     |
| 0.8069     | 0.8690         | 0.4319          | 0.9354              | 3     |
| 0.4793     | 0.9235         | 0.2545          | 0.9609              | 4     |
| 0.2931     | 0.9526         | 0.1720          | 0.9755              | 5     |
| 0.2109     | 0.9640         | 0.1246          | 0.9791              | 6     |


### Framework versions

- Transformers 4.51.3
- TensorFlow 2.18.0
- Datasets 3.6.0
- Tokenizers 0.21.1