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mehdidn/
finetuned_bert_fa_zwnj_base_ner

Name: finetuned_bert_fa_zwnj_base_ner
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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finetuned_parsBERT_NER_fa

This model is a fine-tuned version of HooshvareLab/bert-fa-zwnj-base on the mixed NER dataset collected from ARMAN, PEYMA, and WikiANN. It achieves the following results on the evaluation set:

Loss: 0.0297
Precision: 0.9481
Recall: 0.9582
F1: 0.9531
Accuracy: 0.9942

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: 5e-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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.12	1.0	1821	0.0543	0.8387	0.8577	0.8481	0.9830
0.0381	2.0	3642	0.0360	0.8941	0.9247	0.9091	0.9898
0.0168	3.0	5463	0.0282	0.9273	0.9452	0.9362	0.9927
0.0078	4.0	7284	0.0284	0.9391	0.9551	0.9470	0.9938
0.0033	5.0	9105	0.0297	0.9481	0.9582	0.9531	0.9942

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

mehdidn/finetuned_bert_fa_zwnj_base_ner

finetuned_parsBERT_NER_fa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mehdidn/
finetuned_bert_fa_zwnj_base_ner