my_awesome_reconstructor_model

abdulaziz1928/my_awesome_reconstructor_model

my_awesome_reconstructor_model is a token classification model from abdulaziz1928. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 6, 2023
Updated: Jun 7, 2023
SHA: 135be686

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Model card

From the Hugging Face model README

my_awesome_reconstructor_model

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

Loss: 0.0049
Precision: 0.9976
Recall: 0.9981
F1: 0.9979
Accuracy: 0.9988

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0092	1.0	2495	0.0063	0.9966	0.9975	0.9970	0.9985
0.0028	2.0	4990	0.0049	0.9976	0.9981	0.9979	0.9988

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 6, 2023
Updated: Jun 7, 2023