---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16class_combo_111123_vthout_pp_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_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: 0.1399
- Accuracy: 0.9595

## 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   | 494  | 0.8411          | 0.7784   |
| 1.519         | 2.0   | 988  | 0.4959          | 0.8637   |
| 0.7315        | 3.0   | 1482 | 0.3370          | 0.9077   |
| 0.4973        | 4.0   | 1976 | 0.2599          | 0.9292   |
| 0.3755        | 5.0   | 2470 | 0.2055          | 0.9425   |
| 0.2998        | 6.0   | 2964 | 0.1649          | 0.9521   |
| 0.2492        | 7.0   | 3458 | 0.1491          | 0.9569   |
| 0.2062        | 8.0   | 3952 | 0.1399          | 0.9595   |


### Framework versions

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