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laraozyegen/
bert-finetuned-ner

Name: bert-finetuned-ner
Availability: InStock

generated_from_trainer

samrawal/bert-base-uncased_clinical-ner

finetune

autotrain_compatible

endpoints_compatible

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bert-finetuned-ner

This model is a fine-tuned version of samrawal/bert-base-uncased_clinical-ner on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4144
Precision: 0.5379
Recall: 0.6266
F1: 0.5789
Accuracy: 0.8522

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	188	0.4360	0.5166	0.5835	0.5480	0.8411
No log	2.0	376	0.4066	0.5414	0.6322	0.5833	0.8521
0.4136	3.0	564	0.4144	0.5379	0.6266	0.5789	0.8522

Framework versions

Transformers 4.34.0
Pytorch 1.12.1
Datasets 2.14.5
Tokenizers 0.14.1

laraozyegen/bert-finetuned-ner

bert-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

laraozyegen/
bert-finetuned-ner