---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Bert-Multilingual-Balanced-trimmed-10epoch
  results: []
---

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

# Bert-Multilingual-Balanced-trimmed-10epoch

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: 1.5212
- Accuracy: 0.48

## 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: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 4    | 1.1339          | 0.32     |
| No log        | 2.0   | 8    | 1.0996          | 0.48     |
| No log        | 3.0   | 12   | 1.1665          | 0.36     |
| No log        | 4.0   | 16   | 1.1651          | 0.44     |
| No log        | 5.0   | 20   | 1.1689          | 0.4      |
| No log        | 6.0   | 24   | 1.2189          | 0.32     |
| No log        | 7.0   | 28   | 1.1908          | 0.44     |
| No log        | 8.0   | 32   | 1.1355          | 0.52     |
| No log        | 9.0   | 36   | 1.2280          | 0.4      |
| No log        | 10.0  | 40   | 1.3308          | 0.4      |
| No log        | 11.0  | 44   | 1.3048          | 0.48     |
| No log        | 12.0  | 48   | 1.3897          | 0.44     |
| No log        | 13.0  | 52   | 1.3561          | 0.44     |
| No log        | 14.0  | 56   | 1.3551          | 0.52     |
| No log        | 15.0  | 60   | 1.5895          | 0.4      |
| No log        | 16.0  | 64   | 1.7362          | 0.36     |
| No log        | 17.0  | 68   | 1.6214          | 0.4      |
| No log        | 18.0  | 72   | 1.5556          | 0.4      |
| No log        | 19.0  | 76   | 1.5258          | 0.48     |
| No log        | 20.0  | 80   | 1.5212          | 0.48     |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1