---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bg-news-bert
  results: []
license: cc-by-2.0
language:
- bg
pipeline_tag: fill-mask
---

<!-- 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. -->

# bg-news-bert

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [BG-WEB dataset](https://huggingface.co/datasets/identrics/bg_web).
It achieves the following results on the evaluation set:
- Loss: 1.4510
- Accuracy: 0.6906

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.12.1