---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-uncased-finetuned-wiki-crs
  results: []
---

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# bert-base-multilingual-uncased-finetuned-wiki-crs

This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9961

## 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: 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: 3.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.2133        | 1.0   | 58119  | 1.1296          |
| 1.098         | 2.0   | 116238 | 1.0336          |
| 1.0441        | 3.0   | 174357 | 0.9958          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2