RoBERTa_conll_epoch_4

ICT2214Team7/RoBERTa_conll_epoch_4

RoBERTa_conll_epoch_4 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: Jun 28, 2024
Updated: Jun 28, 2024
SHA: 86dfa7e7

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Base models

Datasets

conll2003

Model card

From the Hugging Face model README

RoBERTa_conll_epoch_4

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

Loss: 0.0595
Precision: 0.9446
Recall: 0.9586
F1: 0.9516
Accuracy: 0.9885

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0785	1.0	1756	0.0667	0.9131	0.9335	0.9232	0.9835
0.0379	2.0	3512	0.0619	0.9341	0.9445	0.9392	0.9864
0.0207	3.0	5268	0.0609	0.9424	0.9529	0.9476	0.9872
0.0105	4.0	7024	0.0595	0.9446	0.9586	0.9516	0.9885

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: Jun 28, 2024
Updated: Jun 28, 2024