xlm-roberta-base-finetuned-incivility-nl – AI Model by mafalda-zuquete | AlphaNeural AI

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mafalda-zuquete/
xlm-roberta-base-finetuned-incivility-nl

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

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xlm-roberta-base-finetuned-incivility-nl

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2424
Accuracy: 0.9380
F1-score: 0.5317
Recall: 0.4786

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score	Recall
No log	1.0	238	0.2118	0.9264	0.0	0.0
No log	2.0	476	0.1941	0.9301	0.5164	0.5071
0.2331	3.0	714	0.2010	0.9385	0.4348	0.3214
0.2331	4.0	952	0.2272	0.9401	0.5210	0.4429
0.1339	5.0	1190	0.2424	0.9380	0.5317	0.4786

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1