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Tarun-1999M/
bert-finetuned-ner

Name: bert-finetuned-ner
Availability: InStock

tensorboard

safetensors

distilbert

generated_from_trainer

conll2003

distilbert/distilbert-base-cased

finetune

apache-2.0

model-index

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bert-finetuned-ner

This model is a fine-tuned version of distilbert/distilbert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.1640
Precision: 0.9223
Recall: 0.9192
F1: 0.9207
Accuracy: 0.9607

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: 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
0.1926	1.0	1756	0.1809	0.9104	0.9056	0.9080	0.9543
0.1318	2.0	3512	0.1622	0.9200	0.9156	0.9178	0.9592
0.0933	3.0	5268	0.1640	0.9223	0.9192	0.9207	0.9607

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.2.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Tarun-1999M/bert-finetuned-ner

bert-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tarun-1999M/
bert-finetuned-ner