RoBERTa_Combined_Generated

ICT2214Team7/RoBERTa_Combined_Generated

RoBERTa_Combined_Generated is a token classification model from ICT2214Team7. 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: roberta
Access: Public
Created: Jul 10, 2024
Updated: Jul 10, 2024
SHA: 14404e1e

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Base models

ICT2214Team7/RoBERTa_Test_Training

Model card

From the Hugging Face model README

RoBERTa_Combined_Generated

This model is a fine-tuned version of ICT2214Team7/RoBERTa_Test_Training on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0014
Precision: 0.9959
Recall: 0.9959
F1: 0.9959
Accuracy: 0.9995

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: 8
eval_batch_size: 8
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
No log	1.0	200	0.0067	0.9859	0.9899	0.9879	0.9987
No log	2.0	400	0.0019	0.9959	0.9959	0.9959	0.9995
0.0744	3.0	600	0.0014	0.9959	0.9959	0.9959	0.9995

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Jul 10, 2024
Updated: Jul 10, 2024