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Tommert25/
robbert0210_lrate5b32

Name: robbert0210_lrate5b32
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert0210_lrate5b32

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: 0.3497
Precisions: 0.8168
Recall: 0.7629
F-measure: 0.7745
Accuracy: 0.9044

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: 32
eval_batch_size: 32
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	118	0.4100	0.8801	0.6728	0.6931	0.8747
No log	2.0	236	0.3638	0.7841	0.7186	0.7176	0.8871
No log	3.0	354	0.3533	0.8013	0.7568	0.7535	0.8967
No log	4.0	472	0.3497	0.8168	0.7629	0.7745	0.9044
0.3409	5.0	590	0.3781	0.7928	0.7789	0.7814	0.9046
0.3409	6.0	708	0.4072	0.8013	0.7836	0.7884	0.9073
0.3409	7.0	826	0.4193	0.8047	0.8026	0.8012	0.9082
0.3409	8.0	944	0.4197	0.8121	0.8021	0.8049	0.9103

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Tommert25/robbert0210_lrate5b32

robbert0210_lrate5b32

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert0210_lrate5b32