VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog

This model is a fine-tuned version of outputDA/checkpoint-7710 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5025
• Accuracy: 0.9077

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
3.9925	1.0	1320	3.0954	0.4223
2.5041	2.0	2640	1.9762	0.6563
1.8061	3.0	3960	1.3196	0.7952
1.0694	4.0	5280	0.9304	0.8510
0.6479	5.0	6600	0.6875	0.8821
0.4408	6.0	7920	0.5692	0.8976
0.2542	7.0	9240	0.5291	0.8949
0.1709	8.0	10560	0.5038	0.9059
0.1181	9.0	11880	0.4885	0.9049
0.0878	10.0	13200	0.4900	0.9049
0.0702	11.0	14520	0.4930	0.9086
0.0528	12.0	15840	0.4987	0.9113
0.0406	13.0	17160	0.5009	0.9113
0.0321	14.0	18480	0.5017	0.9104
0.0308	15.0	19800	0.5025	0.9077

Framework versions

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