my-roberta-for-hateful-meme-classification

This model is a fine-tuned version of xlm-roberta-base on an hateful meme dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6894

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
0.5181 1.0 806 0.7357
0.5235 2.0 1612 0.7480
0.4906 3.0 2418 0.7239
0.4673 4.0 3224 0.7252
0.4678 5.0 4030 0.6894
0.4481 6.0 4836 0.7794
0.4038 7.0 5642 0.7926
0.3052 8.0 6448 0.9150
0.2344 9.0 7254 1.1734
0.271 10.0 8060 1.1404

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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