xlm-roberta-base-finetuned-ner-pulmon – AI Model by FernandoValencia | AlphaNeural AI

You can deploy this model and start earning money today!

FernandoValencia/
xlm-roberta-base-finetuned-ner-pulmon

like

0

token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base-finetuned-ner-pulmon

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: 0.0981
Precision: 0.9075
Recall: 0.9632
F1: 0.9345
Accuracy: 0.9761

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 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	Precision	Recall	F1	Accuracy
No log	1.0	306	0.1183	0.9034	0.9135	0.9084	0.9701
0.4309	2.0	612	0.0894	0.9160	0.9537	0.9345	0.9768
0.4309	3.0	918	0.0773	0.9264	0.9557	0.9409	0.9802
0.0872	4.0	1224	0.0764	0.9272	0.9605	0.9436	0.9804
0.0638	5.0	1530	0.0772	0.9255	0.9631	0.9439	0.9804

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1