xlm-roberta-base-pii-finetuned

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0015
• F Beta: 0.8185

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F Beta
0.001	1.0	724	0.0025	0.7038
0.0011	2.0	1448	0.0016	0.7915
0.0014	3.0	2172	0.0015	0.8185

Framework versions

• Transformers 4.37.1
• Pytorch 2.0.0
• Datasets 2.16.1
• Tokenizers 0.15.0