VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly

This model is a fine-tuned version of outputDAQonly/checkpoint-8710 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5008
• Accuracy: 0.9068

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
• lr_scheduler_type: linear
• num_epochs: 15.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.0751	1.0	1320	3.1674	0.4086
2.5619	2.0	2640	2.0335	0.6426
1.8549	3.0	3960	1.3537	0.7861
1.106	4.0	5280	0.9515	0.8519
0.6698	5.0	6600	0.7152	0.8757
0.4497	6.0	7920	0.5838	0.8921
0.2626	7.0	9240	0.5300	0.8940
0.1762	8.0	10560	0.4984	0.8958
0.119	9.0	11880	0.4906	0.9059
0.0919	10.0	13200	0.4896	0.8995
0.0722	11.0	14520	0.5012	0.9022
0.0517	12.0	15840	0.4951	0.9040
0.0353	13.0	17160	0.4988	0.9040
0.0334	14.0	18480	0.5035	0.9049
0.0304	15.0	19800	0.5008	0.9068

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0
• Datasets 1.16.1
• Tokenizers 0.10.3