metadata

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

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 . 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