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Tommert25/
robbertfinetuned2408

Name: robbertfinetuned2408
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbertfinetuned2408

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: 0.3389
Precision: 0.7133
Recall: 0.7552
F1: 0.7337
Accuracy: 0.8993

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	0.4185	0.6648	0.6218	0.6426	0.8720
No log	2.0	472	0.3389	0.7133	0.7552	0.7337	0.8993
0.4572	3.0	708	0.3503	0.7484	0.7646	0.7564	0.9046
0.4572	4.0	944	0.3875	0.7607	0.7652	0.7629	0.9062
0.1454	5.0	1180	0.4251	0.7854	0.7786	0.7820	0.9089
0.1454	6.0	1416	0.4230	0.7878	0.7920	0.7899	0.9152
0.0544	7.0	1652	0.4555	0.7983	0.7844	0.7913	0.9113
0.0544	8.0	1888	0.4679	0.7894	0.7821	0.7857	0.9120

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Tommert25/robbertfinetuned2408

robbertfinetuned2408

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbertfinetuned2408