---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16_combo_webscrap_1709_v2_reduce_others
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 16_combo_webscrap_1709_v2_reduce_others

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: 0.1501
- Accuracy: 0.9636

## 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: 1e-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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 363  | 1.0481          | 0.7263   |
| 1.5287        | 2.0   | 726  | 0.5613          | 0.8655   |
| 0.6856        | 3.0   | 1089 | 0.3666          | 0.9121   |
| 0.6856        | 4.0   | 1452 | 0.2880          | 0.9284   |
| 0.4313        | 5.0   | 1815 | 0.2187          | 0.9464   |
| 0.3097        | 6.0   | 2178 | 0.1992          | 0.9505   |
| 0.2454        | 7.0   | 2541 | 0.1627          | 0.9598   |
| 0.2454        | 8.0   | 2904 | 0.1501          | 0.9636   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3