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Tommert25/
robbert2209_scrambled

Name: robbert2209_scrambled
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbertfinetuned2209

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: 0.3479
Precision: 0.7445
Recall: 0.7657
F1: 0.7550
Accuracy: 0.9055

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: 16
eval_batch_size: 16
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	Precision	Recall	F1	Accuracy
No log	1.0	236	0.3944	0.6565	0.6282	0.6420	0.8781
No log	2.0	472	0.3546	0.6938	0.7354	0.7140	0.8901
0.479	3.0	708	0.3479	0.7445	0.7657	0.7550	0.9055
0.479	4.0	944	0.3944	0.7523	0.7733	0.7626	0.9049
0.1591	5.0	1180	0.4177	0.7812	0.7657	0.7734	0.9082
0.1591	6.0	1416	0.4467	0.7817	0.7931	0.7874	0.9121
0.0594	7.0	1652	0.4706	0.7985	0.7873	0.7928	0.9125
0.0594	8.0	1888	0.4751	0.7860	0.7960	0.7910	0.9140

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Tommert25/robbert2209_scrambled

robbertfinetuned2209

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert2209_scrambled