Improved-Arabic-bert-nodropout – AI Model by Anwaarma | AlphaNeural AI

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Anwaarma/
Improved-Arabic-bert-nodropout

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text-classification

generated_from_trainer

asafaya/bert-base-arabic

autotrain_compatible

endpoints_compatible

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Improved-Arabic-bert-nodropout

This model is a fine-tuned version of asafaya/bert-base-arabic on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8352
Accuracy: 0.83

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: 1e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5185	0.55	50	0.3813	0.81
0.3312	1.1	100	0.3438	0.86
0.288	1.65	150	0.3476	0.84
0.2155	2.2	200	0.4957	0.81
0.1593	2.75	250	0.4748	0.81
0.1352	3.3	300	0.5133	0.8
0.0887	3.85	350	0.4520	0.86
0.0497	4.4	400	0.7308	0.82
0.0802	4.95	450	0.6633	0.84
0.0188	5.49	500	0.6727	0.85
0.0384	6.04	550	0.8719	0.85
0.0251	6.59	600	0.7503	0.86
0.0193	7.14	650	0.8141	0.84
0.0196	7.69	700	0.7246	0.86
0.014	8.24	750	0.8134	0.83
0.0155	8.79	800	0.7549	0.88
0.0104	9.34	850	0.7811	0.83
0.01	9.89	900	0.8459	0.83
0.004	10.44	950	0.7777	0.88
0.0007	10.99	1000	0.8015	0.87
0.0021	11.54	1050	0.7967	0.87
0.0009	12.09	1100	0.8019	0.88
0.0111	12.64	1150	0.8450	0.87
0.0003	13.19	1200	0.8463	0.84
0.0022	13.74	1250	0.8715	0.85
0.0039	14.29	1300	0.8378	0.83
0.0023	14.84	1350	0.8352	0.83

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.14.1