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GetialJuan/
xml-roberta-large-finetuned-ner-finetuned-ner-biobert

Name: xml-roberta-large-finetuned-ner-finetuned-ner-biobert
Availability: InStock

generated_from_trainer

raulgdp/xml-roberta-large-finetuned-ner

finetune

autotrain_compatible

endpoints_compatible

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xml-roberta-large-finetuned-ner-finetuned-ner-biobert

This model is a fine-tuned version of raulgdp/xml-roberta-large-finetuned-ner on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0856
Precision: 0.9484
Recall: 0.9716
F1: 0.9598
Accuracy: 0.9803

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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	306	0.0922	0.9395	0.9549	0.9471	0.9755
0.2344	2.0	612	0.0871	0.9392	0.9675	0.9531	0.9779
0.2344	3.0	918	0.0795	0.9466	0.9721	0.9592	0.9805
0.0653	4.0	1224	0.0836	0.9477	0.9703	0.9589	0.9801
0.0456	5.0	1530	0.0856	0.9484	0.9716	0.9598	0.9803

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

GetialJuan/xml-roberta-large-finetuned-ner-finetuned-ner-biobert

xml-roberta-large-finetuned-ner-finetuned-ner-biobert

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GetialJuan/
xml-roberta-large-finetuned-ner-finetuned-ner-biobert