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Tommert25/
robbert0410_lrate10b16

Name: robbert0410_lrate10b16
Rating: 2.5 (6 reviews)

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert0410_lrate10b16

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: 0.4783
Precisions: 0.8324
Recall: 0.8123
F-measure: 0.8208
Accuracy: 0.9164

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: 0.0001
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
0.6379	1.0	236	0.4156	0.8657	0.6790	0.6955	0.8798
0.3257	2.0	472	0.3378	0.7529	0.7397	0.7336	0.8932
0.1977	3.0	708	0.3737	0.7960	0.7383	0.7451	0.9003
0.1197	4.0	944	0.4060	0.8446	0.7503	0.7696	0.9025
0.0659	5.0	1180	0.4428	0.7851	0.7731	0.7779	0.9063
0.0447	6.0	1416	0.4972	0.8285	0.7991	0.8124	0.9127
0.0256	7.0	1652	0.4783	0.8324	0.8123	0.8208	0.9164
0.0173	8.0	1888	0.4918	0.8251	0.8082	0.8159	0.9169

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Tommert25/robbert0410_lrate10b16

robbert0410_lrate10b16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0410_lrate10b16