fine_tuned_main_raid

This model is a fine-tuned version of FacebookAI/roberta-large on the RAID dataset. It achieves the following results on the evaluation set:

• Loss: 0.4104
• Accuracy: 0.9413

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4311	0.0010	100	0.1732	0.9445
0.2372	0.0020	200	0.1967	0.9550
0.2263	0.0029	300	0.2582	0.9531
0.1791	0.0039	400	0.4104	0.9413

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0