VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09

This model is a fine-tuned version of outputDAQonly09/ on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4978
• Accuracy: 0.9031

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	330	3.9692	0.2249
4.3672	2.0	660	3.1312	0.4031
4.3672	3.0	990	2.5068	0.5658
3.1495	4.0	1320	2.0300	0.6600
2.2491	5.0	1650	1.6517	0.7450
2.2491	6.0	1980	1.3604	0.7943
1.622	7.0	2310	1.1328	0.8327
1.1252	8.0	2640	0.9484	0.8611
1.1252	9.0	2970	0.8212	0.8757
0.7969	10.0	3300	0.7243	0.8830
0.5348	11.0	3630	0.6597	0.8867
0.5348	12.0	3960	0.5983	0.8857
0.3744	13.0	4290	0.5635	0.8976
0.2564	14.0	4620	0.5437	0.8985
0.2564	15.0	4950	0.5124	0.9013
0.1862	16.0	5280	0.5074	0.9022
0.1349	17.0	5610	0.5028	0.9049
0.1349	18.0	5940	0.4876	0.9077
0.0979	19.0	6270	0.4971	0.9049
0.0763	20.0	6600	0.4941	0.9022
0.0763	21.0	6930	0.4957	0.9049
0.0602	22.0	7260	0.4989	0.9049
0.0504	23.0	7590	0.4959	0.9040
0.0504	24.0	7920	0.4944	0.9031
0.0422	25.0	8250	0.4985	0.9040
0.0379	26.0	8580	0.4970	0.9049
0.0379	27.0	8910	0.4949	0.9040
0.0351	28.0	9240	0.4971	0.9040
0.0321	29.0	9570	0.4967	0.9031
0.0321	30.0	9900	0.4978	0.9031

Framework versions

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