bert-web-bg / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bg-news-bert
    results: []
license: apache-2.0
datasets:
  - identrics/bg_web
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