finetuning-hate-model-electra
This model is a fine-tuned version of cross-encoder/ms-marco-electra-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1691
- Accuracy: 0.9597
- F1: 0.3448
- Precision: 0.4545
- Recall: 0.2778
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2