gelectra-large-germeval_14
This model is a fine-tuned version of deepset/gelectra-large on the germeval_14 dataset. It achieves the following results on the evaluation set:
- precision: 0.8578
- recall: 0.8762
- f1: 0.8669
- accuracy: 0.9763
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: 8
- eval_batch_size: 8
- learning_rate: 2e-05
- weight_decay_rate: 0.01
- num_warmup_steps: 0
- fp16: True
Framework versions
- Transformers 4.18.0
- Datasets 1.18.0
- Tokenizers 0.12.1
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Dataset used to train Ruth/gelectra-large-germeval_14
Evaluation results
- precision on germeval_14self-reported0.858
- recall on germeval_14self-reported0.876
- f1 on germeval_14self-reported0.867
- accuracy on germeval_14self-reported0.976