roberta-base-finetuned

This model is a fine-tuned version of roberta-base on the roman_urdu_hate_speech dataset.

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• num_epochs: 2

Framework versions

• Transformers 4.39.1
• Pytorch 2.2.0+cpu
• Datasets 2.18.0
• Tokenizers 0.15.2