robbert-v2-dutch-base-finetuned-sentiment – AI Model by Ketskapow | AlphaNeural AI

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Ketskapow/
robbert-v2-dutch-base-finetuned-sentiment

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text-classification

generated_from_trainer

pdelobelle/robbert-v2-dutch-base

autotrain_compatible

endpoints_compatible

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robbert-v2-dutch-base-finetuned-sentiment

This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2055
Accuracy: 0.3673
F1: 0.3712

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: 2e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.0698	1.0	86	1.0615	0.4898	0.3314
1.0312	2.0	172	1.0980	0.4052	0.3792
0.9602	3.0	258	1.2286	0.4169	0.3583
0.8644	4.0	344	1.2476	0.4315	0.3893
0.7201	5.0	430	1.4700	0.4227	0.3993
0.5759	6.0	516	1.6862	0.3848	0.3821
0.477	7.0	602	1.9556	0.3469	0.3529
0.3852	8.0	688	2.0945	0.3586	0.3637
0.3377	9.0	774	2.1969	0.3440	0.3502
0.2965	10.0	860	2.2055	0.3673	0.3712

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1