xlm-roberta-large-finetuned-hate-implicit
This model is a fine-tuned version of joeddav/xlm-roberta-large-xnli on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6051
- eval_accuracy: 0.7768
- eval_f1: 0.7721
- eval_runtime: 107.6127
- eval_samples_per_second: 39.921
- eval_steps_per_second: 0.316
- epoch: 3.98
- step: 537
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3