crabz/bertoslav-limited-ner

Named Entity Recognition based on bertoslav-limited

This model is a fine-tuned version of crabz/bertoslav-limited on the Slovak wikiann dataset. It achieves the following results on the evaluation set:

• Loss: 0.2119
• Precision: 0.8986
• Recall: 0.9174
• F1: 0.9079
• Accuracy: 0.9700

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 24
• eval_batch_size: 24
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2953	1.0	834	0.1516	0.8413	0.8647	0.8529	0.9549
0.0975	2.0	1668	0.1304	0.8787	0.9056	0.8920	0.9658
0.0487	3.0	2502	0.1405	0.8916	0.8958	0.8937	0.9660
0.025	4.0	3336	0.1658	0.8850	0.9116	0.8981	0.9669
0.0161	5.0	4170	0.1739	0.8974	0.9127	0.9050	0.9693
0.0074	6.0	5004	0.1888	0.8900	0.9144	0.9020	0.9687
0.0051	7.0	5838	0.1996	0.8946	0.9145	0.9044	0.9693
0.0039	8.0	6672	0.2052	0.8993	0.9158	0.9075	0.9697
0.0024	9.0	7506	0.2112	0.8946	0.9171	0.9057	0.9696
0.0018	10.0	8340	0.2119	0.8986	0.9174	0.9079	0.9700

Framework versions

• Transformers 4.14.0.dev0
• Pytorch 1.10.0
• Datasets 1.16.1
• Tokenizers 0.10.3