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