fine_tuned_super_cleaned_raid_cleaned_poetry

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: 0.3166
• Accuracy: 0.9244

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
0.5539	0.1727	100	0.4263	0.8547
0.486	0.3454	200	0.2353	0.9050
0.3647	0.5181	300	0.5096	0.8702
0.3178	0.6908	400	0.3596	0.9147
0.296	0.8636	500	0.3166	0.9244
0.1874	1.0363	600	0.4236	0.9186
0.1892	1.2090	700	0.3473	0.9302
0.1322	1.3817	800	0.6114	0.9050

Framework versions

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