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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-multilingual-uncased-finetuned-hp

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: 1.9471

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6813        | 1.0   | 66   | 2.4897          |
| 2.4377        | 2.0   | 132  | 2.2871          |
| 2.2739        | 3.0   | 198  | 2.1468          |
| 2.1432        | 4.0   | 264  | 2.1158          |
| 2.058         | 5.0   | 330  | 2.0199          |
| 2.0181        | 6.0   | 396  | 1.9629          |
| 1.9669        | 7.0   | 462  | 2.0044          |
| 1.9437        | 8.0   | 528  | 2.0210          |
| 1.9289        | 9.0   | 594  | 1.8997          |
| 1.9102        | 10.0  | 660  | 1.9474          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1