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Tommert25/
robbert0410_lrate7.5b32

Name: robbert0410_lrate7.5b32
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert0410_lrate7.5b32

This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4559
Precisions: 0.8283
Recall: 0.8004
F-measure: 0.8131
Accuracy: 0.9159

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: 7.5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precisions	Recall	F-measure	Accuracy
0.2719	1.0	118	0.4068	0.8731	0.7017	0.7281	0.8921
0.2306	2.0	236	0.3380	0.7819	0.7690	0.7699	0.9017
0.1268	3.0	354	0.3740	0.7908	0.7845	0.7790	0.9060
0.0858	4.0	472	0.3834	0.7983	0.7651	0.7763	0.9092
0.0586	5.0	590	0.4200	0.8225	0.7933	0.8045	0.9094
0.0349	6.0	708	0.4474	0.8328	0.7926	0.8094	0.9107
0.0209	7.0	826	0.4559	0.8283	0.8004	0.8131	0.9159
0.013	8.0	944	0.4614	0.8175	0.8034	0.8097	0.9144

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Tommert25/robbert0410_lrate7.5b32

robbert0410_lrate7.5b32

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0410_lrate7.5b32