BEREL-finetuned-DSS-sectarian-classification

yonatanlou/BEREL-finetuned-DSS-sectarian-classification

BEREL-finetuned-DSS-sectarian-classification is a text classification model from yonatanlou. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 7, 2024
Updated: Jul 17, 2024
SHA: b17ab32e

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Base models

dicta-il/BEREL

Model card

From the Hugging Face model README

BEREL-finetuned-DSS-sectarian-classification

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

Loss: 0.2263

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	39	0.3616
No log	2.0	78	0.2263
No log	3.0	117	0.3206
No log	4.0	156	0.2727
No log	5.0	195	0.3291
No log	6.0	234	0.3507
No log	7.0	273	0.3554

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 7, 2024
Updated: Jul 17, 2024