---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16class_combo_111123_vthout_pp_full_tweet
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 16class_combo_111123_vthout_pp_full_tweet

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: 0.1334
- Accuracy: 0.9505

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5839        | 1.0   | 694  | 0.6365          | 0.8174   |
| 0.7158        | 2.0   | 1388 | 0.4064          | 0.8861   |
| 0.4163        | 3.0   | 2082 | 0.2977          | 0.9100   |
| 0.3485        | 4.0   | 2776 | 0.2237          | 0.9295   |
| 0.2904        | 5.0   | 3470 | 0.1926          | 0.9357   |
| 0.223         | 6.0   | 4164 | 0.1550          | 0.9455   |
| 0.205         | 7.0   | 4858 | 0.1408          | 0.9483   |
| 0.1672        | 8.0   | 5552 | 0.1334          | 0.9505   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1