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Tommert25/
robbertfinetuned0906

Name: robbertfinetuned0906
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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robbertfinetuned0906

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: 0.5859
Precision: 0.7151
Recall: 0.7079
F1: 0.7115
Accuracy: 0.9186

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: 2e-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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.046	1.0	580	0.5770	0.6912	0.6633	0.6769	0.9102
0.0405	2.0	1160	0.5704	0.6996	0.6835	0.6914	0.9133
0.0346	3.0	1740	0.5786	0.6951	0.7201	0.7074	0.9130
0.0242	4.0	2320	0.5453	0.7098	0.7216	0.7157	0.9186
0.0184	5.0	2900	0.6058	0.7118	0.7036	0.7077	0.9189
0.0087	6.0	3480	0.5859	0.7151	0.7079	0.7115	0.9186

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Tommert25/robbertfinetuned0906

robbertfinetuned0906

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbertfinetuned0906