my_xlm-roberta-large-finetuned-conll03

BahAdoR0101/my_xlm-roberta-large-finetuned-conll03

my_xlm-roberta-large-finetuned-conll03 is a token classification model from BahAdoR0101. 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: Oct 21, 2023
Updated: Oct 21, 2023
SHA: a2a9bff4

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Base models

Datasets

conll2003

Model card

From the Hugging Face model README

my_xlm-roberta-large-finetuned-conll03

This model is a fine-tuned version of xlm-roberta-large on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.1185
Precision: 0.9244
Recall: 0.9375
F1: 0.9309
Accuracy: 0.9856

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
0.1533	1.0	878	0.1178	0.8950	0.9053	0.9001	0.9805
0.0303	2.0	1756	0.1157	0.9157	0.9331	0.9243	0.9843
0.0164	3.0	2634	0.1185	0.9244	0.9375	0.9309	0.9856

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Oct 21, 2023
Updated: Oct 21, 2023