tukhtashevshohruh/xlm-roberta-base-lowercase-high-accuracy

xlm-roberta-base-lowercase

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

• Loss: 0.16673
• Precision: 0.5710
• Recall: 0.6137
• F1: 0.5916

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 2
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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
• lr_scheduler_warmup_steps: 500
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.1949	1.0	2206	0.1788	0.5315	0.5391	0.5353
0.1669	2.0	4412	0.1670	0.5353	0.5995	0.5656
0.1361	3.0	6618	0.1667	0.5710	0.6137	0.5916

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0