xmlNer-biobert – AI Model by Vantwoth | AlphaNeural AI

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Vantwoth/
xmlNer-biobert

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xmlNer-biobert

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0843
Precision: 0.9481
Recall: 0.9752
F1: 0.9615
Accuracy: 0.9816

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4975	1.0	612	0.1100	0.9268	0.9546	0.9405	0.9713
0.1263	2.0	1224	0.0902	0.9359	0.9720	0.9536	0.9776
0.0894	3.0	1836	0.0861	0.9437	0.9725	0.9579	0.9790
0.0687	4.0	2448	0.0841	0.9461	0.9748	0.9603	0.9809
0.0497	5.0	3060	0.0843	0.9481	0.9752	0.9615	0.9816

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0