POEMS-CAMELBERT-CA-RUN4-25

salohnana2018/POEMS-CAMELBERT-CA-RUN4-25

POEMS-CAMELBERT-CA-RUN4-25 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 9, 2024
Updated: Mar 10, 2024
SHA: 2109dcd3

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Base models

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

Model card

From the Hugging Face model README

POEMS-CAMELBERT-CA-RUN4-25

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: 1.7725
Accuracy: 0.5731
F1: 0.5731
Precision: 0.5731
Recall: 0.5731

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: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.3427	1.0	472	1.2734	0.4056	0.4056	0.4056	0.4056
1.1941	2.0	944	1.1317	0.5129	0.5129	0.5129	0.5129
1.1178	3.0	1416	1.1461	0.5142	0.5142	0.5142	0.5142
1.0569	4.0	1888	1.0592	0.5412	0.5412	0.5412	0.5412
0.9925	5.0	2360	1.1219	0.5426	0.5426	0.5426	0.5426
0.9375	6.0	2832	1.0840	0.5740	0.5740	0.5740	0.5740
0.8771	7.0	3304	1.1091	0.5816	0.5816	0.5816	0.5816
0.8262	8.0	3776	1.1221	0.5851	0.5851	0.5851	0.5851
0.7871	9.0	4248	1.1499	0.5745	0.5745	0.5745	0.5745
0.7252	10.0	4720	1.3011	0.5621	0.5621	0.5621	0.5621
0.6919	11.0	5192	1.3272	0.5802	0.5802	0.5802	0.5802
0.6427	12.0	5664	1.3928	0.5683	0.5683	0.5683	0.5683
0.6008	13.0	6136	1.4789	0.5590	0.5590	0.5590	0.5590
0.5576	14.0	6608	1.4850	0.5638	0.5638	0.5638	0.5638
0.5267	15.0	7080	1.5124	0.5762	0.5762	0.5762	0.5762
0.4823	16.0	7552	1.3870	0.5683	0.5683	0.5683	0.5683
0.4564	17.0	8024	1.5277	0.5785	0.5785	0.5785	0.5785
0.4217	18.0	8496	1.5805	0.5723	0.5723	0.5723	0.5723
0.3891	19.0	8968	1.5173	0.5709	0.5709	0.5709	0.5709
0.3705	20.0	9440	1.6484	0.5807	0.5807	0.5807	0.5807
0.3419	21.0	9912	1.6999	0.5816	0.5816	0.5816	0.5816
0.321	22.0	10384	1.7024	0.5745	0.5745	0.5745	0.5745
0.3121	23.0	10856	1.7545	0.5709	0.5709	0.5709	0.5709
0.2964	24.0	11328	1.7355	0.5767	0.5767	0.5767	0.5767
0.285	25.0	11800	1.7725	0.5731	0.5731	0.5731	0.5731

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 9, 2024
Updated: Mar 10, 2024