elnasharomar2
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roberta-large-NER_oknashar

Token Classification

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roberta-large-NER_oknashar

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0273
Precision: 0.9181
Recall: 0.9255
F1: 0.9218
Accuracy: 0.9928

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0393	1.0	2714	0.0325	0.8993	0.9008	0.9000	0.9912
0.0224	2.0	5428	0.0273	0.9181	0.9255	0.9218	0.9928

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

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Token Classification

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Evaluation results

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