roberta-large-bne-capitel-ner-finetuned-ner – AI Model by Edwinlasso99 | AlphaNeural AI

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Edwinlasso99/
roberta-large-bne-capitel-ner-finetuned-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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roberta-large-bne-capitel-ner-finetuned-ner

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne-capitel-ner on the biobert_json dataset. It achieves the following results on the evaluation set:

Loss: 0.0918
Precision: 0.9574
Recall: 0.9659
F1: 0.9616
Accuracy: 0.9810

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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
0.1292	1.0	1224	0.0942	0.9455	0.9528	0.9491	0.9737
0.0813	2.0	2448	0.0960	0.9443	0.9696	0.9568	0.9780
0.0509	3.0	3672	0.0819	0.9559	0.9686	0.9622	0.9814
0.0314	4.0	4896	0.0853	0.9557	0.9694	0.9625	0.9811
0.0196	5.0	6120	0.0918	0.9574	0.9659	0.9616	0.9810

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3