metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bg-news-bert
results: []
license: cc-by-2.0
language:
- bg
pipeline_tag: fill-mask
bg-news-bert
This model is a fine-tuned version of bert-base-uncased on the BG-WEB dataset. 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