fine_tuned_main_raid_super_cleaned

This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6692
• Accuracy: 0.8866

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
0.5407	0.1805	100	0.9815	0.6012
0.4019	0.3610	200	0.5853	0.8745
0.4663	0.5415	300	0.4280	0.9028
0.3284	0.7220	400	1.4563	0.7065
0.3143	0.9025	500	0.6692	0.8866
0.2762	1.0830	600	0.3298	0.9190
0.1055	1.2635	700	0.7015	0.8866
0.1994	1.4440	800	2.1768	0.6012
0.2506	1.6245	900	1.2012	0.7551

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3