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

Name: POEMS-CAMELBERT-CA-RUN4-20-fullData
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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:

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The following hyperparameters were used during training:

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