xlm-roberta-large

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

• Loss: 7.1503

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: 1e-06
• train_batch_size: 14
• eval_batch_size: 14
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0416	1.0	202	6.9265
0.0306	2.0	404	7.2318
0.0272	3.0	606	7.4132
0.0776	4.0	808	7.3535
0.2776	5.0	1010	7.1503

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2