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Tommert25/
robbert0210_lrate2.5b16

Name: robbert0210_lrate2.5b16
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert0210_lrate2.5b16

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: 0.3449
Precisions: 0.7846
Recall: 0.7358
F-measure: 0.7356
Accuracy: 0.8988

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: 2.5e-05
train_batch_size: 16
eval_batch_size: 16
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	236	0.4364	0.8256	0.6672	0.6709	0.8658
No log	2.0	472	0.3745	0.6875	0.7116	0.6970	0.8839
0.5514	3.0	708	0.3449	0.7846	0.7358	0.7356	0.8988
0.5514	4.0	944	0.3625	0.8042	0.7487	0.7552	0.9000
0.2255	5.0	1180	0.3987	0.8037	0.7541	0.7618	0.9000
0.2255	6.0	1416	0.4315	0.8049	0.7549	0.7636	0.9010
0.1211	7.0	1652	0.4060	0.8170	0.7633	0.7785	0.9034
0.1211	8.0	1888	0.4146	0.8162	0.7813	0.7927	0.9070

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Tommert25/robbert0210_lrate2.5b16

robbert0210_lrate2.5b16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0210_lrate2.5b16