xlm-roberta-base_span_detect_syl

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the covid19_ner dataset. It achieves the following results on the evaluation set:

• Loss: 0.0682
• X: 0.9549
• F1 Macro: 0.9549
• F1 Micro: 0.9549

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	X	F1 Macro	F1 Micro
0.1061	1.0	629	0.0699	0.9229	0.9229	0.9229
0.0366	2.0	1258	0.0813	0.9363	0.9363	0.9363
0.0223	3.0	1887	0.0707	0.9504	0.9504	0.9504
0.0144	4.0	2516	0.0661	0.9557	0.9557	0.9557
0.0092	5.0	3145	0.0682	0.9549	0.9549	0.9549

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1