xlm-roberta-base-fa-base-ner

Amir13/xlm-roberta-base-fa-base-ner

xlm-roberta-base-fa-base-ner is a token classification model from Amir13. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jan 20, 2023
Updated: Jan 20, 2023
SHA: f75e9c1a

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Model card

From the Hugging Face model README

xlm-roberta-base-fa-base-ner

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2856
Precision: 0.5353
Recall: 0.5704
F1: 0.5523
Accuracy: 0.9168

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
0.673	1.0	511	0.4067	0.4767	0.3981	0.4339	0.8956
0.3673	2.0	1022	0.3279	0.4611	0.5138	0.4860	0.9031
0.2998	3.0	1533	0.2977	0.5265	0.4976	0.5116	0.9132
0.2616	4.0	2044	0.2860	0.5365	0.5477	0.5420	0.9151
0.2394	5.0	2555	0.2856	0.5353	0.5704	0.5523	0.9168

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Jan 20, 2023
Updated: Jan 20, 2023