email_question_extraction

arya555/email_question_extraction

email_question_extraction is a token classification model from arya555. 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: roberta
Access: Public
Created: Dec 22, 2023
Updated: Dec 22, 2023
SHA: 1d75a496

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Base models

Model card

From the Hugging Face model README

email_question_extraction

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0071
Precision: 0.4595
Recall: 0.8095
F1: 0.5862
Accuracy: 0.9978

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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0653	1.0	73	0.0097	0.5156	0.7857	0.6226	0.9963
0.0307	2.0	146	0.0056	0.5263	0.7143	0.6061	0.9986
0.027	3.0	219	0.0081	0.4667	0.8333	0.5983	0.9971
0.0046	4.0	292	0.0071	0.4595	0.8095	0.5862	0.9978

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.16.0
Tokenizers 0.15.0

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Dec 22, 2023
Updated: Dec 22, 2023