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Tommert25/
robbert0410_lrate7.5b4

Name: robbert0410_lrate7.5b4
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert0410_lrate7.5b4

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: 0.4079
Precisions: 0.7671
Recall: 0.7305
F-measure: 0.7455
Accuracy: 0.8904

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: 4
eval_batch_size: 4
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
0.7027	1.0	942	0.4843	0.8628	0.6861	0.6969	0.8785
0.3645	2.0	1884	0.4079	0.7671	0.7305	0.7455	0.8904
0.238	3.0	2826	0.5338	0.7981	0.7422	0.7486	0.8957
0.1894	4.0	3768	0.6026	0.8327	0.7495	0.7668	0.9049
0.0825	5.0	4710	0.5781	0.7825	0.7859	0.7833	0.9055
0.0523	6.0	5652	0.6107	0.8084	0.7591	0.7712	0.9124
0.0388	7.0	6594	0.6455	0.8090	0.7802	0.7894	0.9107
0.0253	8.0	7536	0.6711	0.8168	0.7825	0.7937	0.9135

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Tommert25/robbert0410_lrate7.5b4

robbert0410_lrate7.5b4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0410_lrate7.5b4