RoBERTa_conll_learning_rate7e5

ICT2214Team7/RoBERTa_conll_learning_rate7e5

RoBERTa_conll_learning_rate7e5 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 3, 2024
Updated: Jul 3, 2024
SHA: 9d8e60ff

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Base models

Datasets

conll2003

Model card

From the Hugging Face model README

RoBERTa_conll_learning_rate7e5

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

Loss: 0.0592
Precision: 0.9373
Recall: 0.9515
F1: 0.9444
Accuracy: 0.9872

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: 7e-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
0.0822	1.0	1756	0.0665	0.9087	0.9349	0.9216	0.9821
0.0329	2.0	3512	0.0644	0.9340	0.9429	0.9384	0.9860
0.0205	3.0	5268	0.0592	0.9373	0.9515	0.9444	0.9872

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Jul 3, 2024
Updated: Jul 3, 2024