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Tommert25/
robbert0410_lrate7.5b8

Name: robbert0410_lrate7.5b8
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert0410_lrate7.5b8

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: 0.3807
Precisions: 0.7617
Recall: 0.7368
F-measure: 0.7423
Accuracy: 0.8880

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: 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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precisions	Recall	F-measure	Accuracy
No log	1.0	471	0.4437	0.8549	0.6737	0.6835	0.8700
0.5971	2.0	942	0.3807	0.7617	0.7368	0.7423	0.8880
0.2963	3.0	1413	0.4422	0.7859	0.7422	0.7476	0.9028
0.1606	4.0	1884	0.5208	0.8338	0.7546	0.7754	0.9041
0.107	5.0	2355	0.5299	0.7982	0.7887	0.7915	0.9076
0.0628	6.0	2826	0.5734	0.8099	0.7694	0.7824	0.9121
0.0295	7.0	3297	0.6021	0.8090	0.7771	0.7898	0.9116
0.0192	8.0	3768	0.6043	0.8120	0.7801	0.7927	0.9137

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Tommert25/robbert0410_lrate7.5b8

robbert0410_lrate7.5b8

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0410_lrate7.5b8