xlmroberta-ner-prostata-bs8 – AI Model by Ben0ni | AlphaNeural AI

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Ben0ni/
xlmroberta-ner-prostata-bs8

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

endpoints_compatible

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xlmroberta-ner-prostata-bs8

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

Loss: 0.0636
Precision: 0.9673
Recall: 0.9726
F1: 0.9699

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: 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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.8122	1.0	195	0.3194	0.7609	0.7909	0.7756
0.2060	2.0	390	0.1058	0.9227	0.9430	0.9328
0.1159	3.0	585	0.0602	0.9539	0.9638	0.9588
0.0948	4.0	780	0.0555	0.9585	0.9715	0.9650
0.0614	5.0	975	0.0390	0.9780	0.9786	0.9783
0.0641	6.0	1170	0.0347	0.9792	0.9761	0.9776
0.0423	7.0	1365	0.0362	0.9819	0.9806	0.9812
0.0303	8.0	1560	0.0349	0.9831	0.9819	0.9825

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2