metadata

license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
  - generated_from_trainer
metrics:
  - recall
  - accuracy
model-index:
  - name: robbert_seed33_1311
    results: []

robbert_seed33_1311

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: 0.3569
Precisions: 0.8341
Recall: 0.8159
F-measure: 0.8240
Accuracy: 0.9424

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: 7.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 14

Training results

Training Loss	Epoch	Step	Validation Loss	Precisions	Recall	F-measure	Accuracy
0.4471	1.0	236	0.2653	0.7696	0.7076	0.7131	0.9195
0.2264	2.0	472	0.2367	0.8184	0.7497	0.7777	0.9279
0.1443	3.0	708	0.2710	0.8069	0.7735	0.7817	0.9315
0.0869	4.0	944	0.2697	0.8391	0.7998	0.8150	0.9364
0.0531	5.0	1180	0.2877	0.8622	0.7952	0.8178	0.9393
0.0373	6.0	1416	0.3171	0.8338	0.8120	0.8204	0.9422
0.0238	7.0	1652	0.3312	0.8247	0.7921	0.8047	0.9390
0.0159	8.0	1888	0.3569	0.8341	0.8159	0.8240	0.9424
0.0122	9.0	2124	0.3832	0.8398	0.8127	0.8238	0.9422
0.0058	10.0	2360	0.4160	0.8288	0.7975	0.8098	0.9400
0.0059	11.0	2596	0.4153	0.8321	0.8012	0.8124	0.9405
0.0045	12.0	2832	0.4399	0.8130	0.7909	0.7994	0.9369
0.0024	13.0	3068	0.4357	0.8358	0.8026	0.8163	0.9409
0.0035	14.0	3304	0.4391	0.8374	0.8036	0.8175	0.9414

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1