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Tommert25/
robbertfinetuned1406

Name: robbertfinetuned1406
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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robbertfinetuned1406

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: 1.0350
Precision: 0.6604
Recall: 0.6291
F1: 0.6444
Accuracy: 0.8697

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	1.0577	0.6605	0.6074	0.6328	0.8632
No log	2.0	146	1.1133	0.6470	0.6017	0.6235	0.8606
No log	3.0	219	1.0416	0.6539	0.6310	0.6423	0.8675
No log	4.0	292	1.0350	0.6604	0.6291	0.6444	0.8697

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Tommert25/robbertfinetuned1406

robbertfinetuned1406

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbertfinetuned1406