lease_sk_ner_emph_bold

This model is a fine-tuned version of gerulata/slovakbert on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0446

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1329	0.0258
0.0467	2.0	2658	0.0229
0.0467	3.0	3987	0.0215
0.01	4.0	5316	0.0231
0.0061	5.0	6645	0.0277
0.0061	6.0	7974	0.0288
0.0045	7.0	9303	0.0351
0.0032	8.0	10632	0.0316
0.0032	9.0	11961	0.0370
0.0025	10.0	13290	0.0402
0.0018	11.0	14619	0.0367
0.0018	12.0	15948	0.0396
0.0015	13.0	17277	0.0417
0.0012	14.0	18606	0.0433
0.0012	15.0	19935	0.0446

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1