---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-web-bg
  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. -->

# bert-web-bg

This model is pretrained from scratch BERT on Bulgarian dataset created at the Bulgarian Academy of Sciences under the [ClaDa-BG Project](https://clada-bg.eu/en/) .
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
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.12.1