---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16_combo_webscrap_1709_v1
  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_v1

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: 0.1552
- Accuracy: 0.9599

## 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   | 395  | 1.0920          | 0.7269   |
| 1.646         | 2.0   | 790  | 0.6104          | 0.8395   |
| 0.7597        | 3.0   | 1185 | 0.3893          | 0.9039   |
| 0.5051        | 4.0   | 1580 | 0.3032          | 0.9178   |
| 0.5051        | 5.0   | 1975 | 0.2399          | 0.9359   |
| 0.3557        | 6.0   | 2370 | 0.1941          | 0.9516   |
| 0.2714        | 7.0   | 2765 | 0.1673          | 0.9569   |
| 0.2116        | 8.0   | 3160 | 0.1552          | 0.9599   |


### Framework versions

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