gbert-base-germaner
This model is a fine-tuned version of deepset/gbert-base on the germaner dataset. It achieves the following results on the evaluation set:
- precision: 0.8494
- recall: 0.8772
- f1: 0.8631
- accuracy: 0.9775
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:
- num_train_epochs: 5
- train_batch_size: 16
- eval_batch_size: 32
- learning_rate: 2e-05
- weight_decay_rate: 0.01
- num_warmup_steps: 0
- fp16: True
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
- Downloads last month
- 4
Model tree for alinasrullayev/gbert-base-germaner
Base model
deepset/gbert-baseDataset used to train alinasrullayev/gbert-base-germaner
Evaluation results
- precision on germanerself-reported0.849
- recall on germanerself-reported0.877
- f1 on germanerself-reported0.863
- accuracy on germanerself-reported0.977