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Tommert25/
robbert2809_lrate10

Name: robbert2809_lrate10
Availability: InStock

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

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robbert2809_lrate10

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: 0.3760
Precision: 0.7615
Recall: 0.7517
F1: 0.7566
Accuracy: 0.8990

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: 0.0001
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	118	0.4116	0.7166	0.7104	0.7135	0.8906
No log	2.0	236	0.3760	0.7615	0.7517	0.7566	0.8990
No log	3.0	354	0.4114	0.7428	0.7692	0.7558	0.9019
No log	4.0	472	0.4230	0.7881	0.7844	0.7862	0.9131
0.1527	5.0	590	0.4550	0.7858	0.7716	0.7786	0.9092
0.1527	6.0	708	0.4553	0.7876	0.8019	0.7947	0.9188
0.1527	7.0	826	0.4824	0.7864	0.8001	0.7932	0.9181
0.1527	8.0	944	0.4973	0.7922	0.7978	0.7950	0.9196

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Tommert25/robbert2809_lrate10

robbert2809_lrate10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tommert25/
robbert2809_lrate10