danskbert_ED

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

• Loss: 0.7439
• F1-score: 0.8339

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: 5e-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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
No log	1.0	69	0.6389	0.8014
No log	2.0	138	0.6085	0.7654
No log	3.0	207	0.7439	0.8339
No log	4.0	276	0.8447	0.8273
No log	5.0	345	0.9992	0.8193
No log	6.0	414	1.4570	0.7775
No log	7.0	483	1.4951	0.8029
0.2302	8.0	552	1.7546	0.7769
0.2302	9.0	621	1.5325	0.8115
0.2302	10.0	690	1.6252	0.8033
0.2302	11.0	759	1.5428	0.8197
0.2302	12.0	828	1.5487	0.8278
0.2302	13.0	897	1.5563	0.8195
0.2302	14.0	966	1.5723	0.8195
0.0017	15.0	1035	1.5878	0.8276
0.0017	16.0	1104	1.6001	0.8276
0.0017	17.0	1173	1.6105	0.8276
0.0017	18.0	1242	1.6195	0.8276
0.0017	19.0	1311	1.6236	0.8276
0.0017	20.0	1380	1.6166	0.8278

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1