nbbert_ED3

This model is a fine-tuned version of NbAiLab/nb-bert-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3621
• F1-score: 0.8846

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
No log	1.0	69	0.5867	0.7748
No log	2.0	138	0.4927	0.8030
No log	3.0	207	0.3621	0.8846
No log	4.0	276	0.3917	0.8358
No log	5.0	345	0.5062	0.8442
No log	6.0	414	0.7493	0.8187
No log	7.0	483	0.7768	0.8262
0.4016	8.0	552	0.9187	0.8262
0.4016	9.0	621	0.9876	0.8107
0.4016	10.0	690	1.0521	0.7946

Framework versions

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