xlmroberta

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: 1.2550
• Accuracy: 0.6611
• F1: 0.6772

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-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-05
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7242	1.0	2100	0.7533	0.6678	0.6863
0.8284	2.0	4200	0.9363	0.6639	0.6807
0.8988	3.0	6300	1.2550	0.6611	0.6772

Framework versions

• Transformers 4.30.1
• Pytorch 2.0.1+cu118
• Datasets 2.13.0
• Tokenizers 0.13.3