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---
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 |