TaNER-500-indic_glue

AnanthZeke/TaNER-500-indic_glue

TaNER-500-indic_glue is a token classification model from AnanthZeke. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: distilbert
Access: Public
Created: May 17, 2023
Updated: May 17, 2023
SHA: 95ee7d6b

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Model card

From the Hugging Face model README

TaNER-500-indic_glue

This model is a fine-tuned version of livinNector/tabert-500 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2608
Precision: 0.8035
Recall: 0.8304
F1: 0.8167
Accuracy: 0.9169

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: 32
eval_batch_size: 64
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
0.5439	0.31	200	0.3597	0.7357	0.7286	0.7321	0.8817
0.3655	0.62	400	0.3258	0.7377	0.7877	0.7619	0.8928
0.3036	0.94	600	0.2912	0.7764	0.7973	0.7867	0.9049
0.2322	1.25	800	0.2731	0.7884	0.8205	0.8041	0.9114
0.1851	1.56	1000	0.2622	0.8005	0.8214	0.8109	0.9159
0.1773	1.88	1200	0.2608	0.8035	0.8304	0.8167	0.9169

Framework versions

Transformers 4.29.2
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
Created: May 17, 2023
Updated: May 17, 2023