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Amala3/
robbert2

Name: robbert2
Rating: 2.5 (7 reviews)

tensorboard

safetensors

roberta

generated_from_trainer

DTAI-KULeuven/robbert-2023-dutch-base

finetune

mit

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robbert2

This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1668
Accuracy: 0.9617
F1: 0.6771
Precision: 0.7418
Recall: 0.6357

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1552	1.0	9646	0.1982	0.9569	0.4843	0.5375	0.4579
0.1169	2.0	19292	0.1856	0.9653	0.6065	0.7167	0.5540
0.0831	3.0	28938	0.1668	0.9617	0.6771	0.7418	0.6357

Framework versions

Transformers 4.43.4
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.19.1

Amala3/robbert2

robbert2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Amala3/
robbert2