You can deploy this model and start earning money today!

Tommert25/
robbert0210_lrate5b4

Name: robbert0210_lrate5b4
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

Views

No views yet

robbert0210_lrate5b4

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: 0.3947
Precisions: 0.7931
Recall: 0.7419
F-measure: 0.7620
Accuracy: 0.8995

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: 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
0.71	1.0	942	0.4675	0.8146	0.6895	0.6795	0.8713
0.3587	2.0	1884	0.3947	0.7931	0.7419	0.7620	0.8995
0.2221	3.0	2826	0.5259	0.7885	0.7682	0.7650	0.9021
0.1455	4.0	3768	0.5330	0.8071	0.7500	0.7698	0.9051
0.0775	5.0	4710	0.5904	0.7773	0.7806	0.7768	0.9035
0.0465	6.0	5652	0.6671	0.8375	0.7689	0.7890	0.9038
0.0329	7.0	6594	0.6634	0.8002	0.7764	0.7864	0.9073
0.0245	8.0	7536	0.6707	0.8325	0.7928	0.8087	0.9118

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Tommert25/robbert0210_lrate5b4

robbert0210_lrate5b4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0210_lrate5b4