VaccinChatSentenceClassifierDutch_fromBERTje – AI Model by Jeska | AlphaNeural AI

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VaccinChatSentenceClassifierDutch_fromBERTje

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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VaccinChatSentenceClassifierDutch_fromBERTje

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

Loss: 0.6223
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: 2e-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: 15.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4666	1.0	1320	2.3355	0.5768
1.5293	2.0	2640	1.1118	0.8144
0.8031	3.0	3960	0.6362	0.8803
0.2985	4.0	5280	0.5119	0.8958
0.1284	5.0	6600	0.5023	0.8931
0.0842	6.0	7920	0.5246	0.9022
0.0414	7.0	9240	0.5581	0.9013
0.0372	8.0	10560	0.5721	0.9004
0.0292	9.0	11880	0.5469	0.9141
0.0257	10.0	13200	0.5871	0.9059
0.0189	11.0	14520	0.6181	0.9049
0.0104	12.0	15840	0.6184	0.9068
0.009	13.0	17160	0.6013	0.9049
0.0051	14.0	18480	0.6205	0.9059
0.0035	15.0	19800	0.6223	0.9068

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0
Datasets 1.16.1
Tokenizers 0.10.3