POEMS-CAMELBERT-CA-RUN4-20-fullData

salohnana2018/POEMS-CAMELBERT-CA-RUN4-20-fullData

POEMS-CAMELBERT-CA-RUN4-20-fullData is a text classification model from salohnana2018. 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: Mar 10, 2024
Updated: Mar 10, 2024
SHA: d9ef83e0

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Base models

CAMeL-Lab/bert-base-arabic-camelbert-ca

Model card

From the Hugging Face model README

POEMS-CAMELBERT-CA-RUN4-20-fullData

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-ca on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1172
Accuracy: 0.6210
F1: 0.6210
Precision: 0.6210
Recall: 0.6210

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.1804	1.0	568	1.1103	0.5066	0.5066	0.5066	0.5066
0.9771	2.0	1136	0.9937	0.5847	0.5847	0.5847	0.5847
0.8057	3.0	1704	1.0751	0.5882	0.5882	0.5882	0.5882
0.6404	4.0	2272	1.1029	0.6011	0.6011	0.6011	0.6011
0.4956	5.0	2840	1.1222	0.6064	0.6064	0.6064	0.6064
0.3742	6.0	3408	1.2714	0.6077	0.6077	0.6077	0.6077
0.2881	7.0	3976	1.5337	0.5931	0.5931	0.5931	0.5931
0.2153	8.0	4544	1.6150	0.5984	0.5984	0.5984	0.5984
0.1663	9.0	5112	1.7246	0.6037	0.6037	0.6037	0.6037
0.1266	10.0	5680	2.0767	0.5984	0.5984	0.5984	0.5984
0.1064	11.0	6248	2.1690	0.6161	0.6161	0.6161	0.6161
0.0895	12.0	6816	2.4732	0.6068	0.6068	0.6068	0.6068
0.0794	13.0	7384	2.4153	0.6095	0.6095	0.6095	0.6095
0.0555	14.0	7952	2.8754	0.6037	0.6037	0.6037	0.6037
0.0502	15.0	8520	2.8673	0.6121	0.6121	0.6121	0.6121
0.0383	16.0	9088	2.9805	0.6139	0.6139	0.6139	0.6139
0.0329	17.0	9656	3.0402	0.6188	0.6188	0.6188	0.6188
0.0237	18.0	10224	3.0225	0.6263	0.6263	0.6263	0.6263
0.0173	19.0	10792	3.0629	0.6206	0.6206	0.6206	0.6206
0.0169	20.0	11360	3.1172	0.6210	0.6210	0.6210	0.6210

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 10, 2024
Updated: Mar 10, 2024