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# dutch_genre_classifier

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1404
- Precision: 0.9713
- Recall: 0.9707
- Fscore: 0.9707

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"language": ["nl"], "license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall"], "base_model": "xlm-roberta-base", "pipeline_tag": "text-classification", "widget": [{"text": "We zullen zien bij de \\#verkiezingen2024", "example_title": "tw"}, {"text": "Meneer de minister, stemt u voor of tegen dit wetsvoorstel?", "example_title": "par"}, {"text": "Annie Geeraerts (97) en Ray Verhaeghe (97) werden recent nog officieel gehuldigd als het oudste soapkoppel ter wereld. Ook in 2024 denken ze nog niet aan stoppen. \u201cToen ik in het begin een contract van drie maanden kreeg vond ik dat al fantastisch lang, niet wetende dat het 32 jaar zou duren\u201d, zegt Annie fier. \u201cHet enige jammere is dat Albert nauwelijks nog zijn typische borreltjes mag drinken\u201d, voegt Ray eraan toe. Showbits-reporter Jarne hoort het olijke duo uit over wat hun personages betekenen voor de trouwe soapfans.", "example_title": "nws"}], "model-index": [{"name": "dutch_genre_classifier", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer nl base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us