a4b9325ee6330d4b07b40e5405fb6d34

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

• Loss: 0.6741
• Data Size: 0.25
• Epoch Runtime: 36.7934
• Accuracy: 0.6130
• F1 Macro: 0.3801

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
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	0.7411	0	7.5993	0.3872	0.2794
No log	1	650	0.6113	0.0078	8.7396	0.7106	0.7098
No log	2	1300	0.0103	0.0156	10.3798	0.9973	0.9972
No log	3	1950	0.2774	0.0312	13.6908	0.9622	0.9594
No log	4	2600	0.0293	0.0625	16.3579	0.9959	0.9957
0.0072	5	3250	0.6706	0.125	23.3066	0.6130	0.3801
0.6834	6	3900	0.6741	0.25	36.7934	0.6130	0.3801

Framework versions

• Transformers 4.57.0
• Pytorch 2.8.0+cu128
• Datasets 4.3.0
• Tokenizers 0.22.1