You can deploy this model and start earning money today!

Tommert25/
robbertfinetuned1506

Name: robbertfinetuned1506
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

Views

No views yet

robbertfinetuned1506

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: 0.4020
Precision: 0.6588
Recall: 0.5806
F1: 0.6172
Accuracy: 0.8828

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	73	0.5045	0.5902	0.4871	0.5337	0.86
No log	2.0	146	0.4124	0.6161	0.5612	0.5873	0.8772
No log	3.0	219	0.3974	0.6502	0.5683	0.6065	0.8839
No log	4.0	292	0.4020	0.6588	0.5806	0.6172	0.8828

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3

Tommert25/robbertfinetuned1506

robbertfinetuned1506

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbertfinetuned1506