Public100_1L_BERT_5epoch_again

Youssef320/Public100_1L_BERT_5epoch_again

Public100_1L_BERT_5epoch_again is a text classification model from Youssef320. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Sep 6, 2023
Updated: Sep 6, 2023
SHA: 05dcd4c8

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Model card

From the Hugging Face model README

Public100_1L_BERT_5epoch_again

This model is a fine-tuned version of Youssef320/Public100_1L_BERT_5epoch on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.4088
Top 1 Macro F1 Score: 0.1019
Top 1 Weighted F1score: 0.1606
Top 3 Macro F1 Score: 0.2198
Top3 3 Weighted F1 Score : 0.3153

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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Top 1 Macro F1 Score	Top 1 Weighted F1score	Top 3 Macro F1 Score	Top3 3 Weighted F1 Score
3.5163	0.12	64	3.5267	0.0688	0.1259	0.1655	0.2710
3.4858	0.25	128	3.5224	0.0692	0.1260	0.1700	0.2728
3.444	0.38	192	3.5111	0.0751	0.1334	0.1730	0.2787
3.4475	0.5	256	3.5042	0.0746	0.1317	0.1738	0.2790
3.4461	0.62	320	3.4986	0.0750	0.1320	0.1731	0.2777
3.4652	0.75	384	3.4898	0.0781	0.1373	0.1796	0.2849
3.4443	0.88	448	3.4867	0.0802	0.1380	0.1811	0.2852
3.4828	1.0	512	3.4726	0.0797	0.1392	0.1836	0.2893
3.4113	1.12	576	3.4760	0.0819	0.1409	0.1863	0.2909
3.4054	1.25	640	3.4737	0.0822	0.1408	0.1827	0.2881
3.4218	1.38	704	3.4678	0.0826	0.1418	0.1861	0.2897
3.4095	1.5	768	3.4580	0.0847	0.1436	0.1890	0.2934
3.4153	1.62	832	3.4534	0.0858	0.1459	0.1904	0.2959
3.4154	1.75	896	3.4468	0.0855	0.1450	0.1921	0.2961
3.3818	1.88	960	3.4436	0.0836	0.1430	0.1905	0.2939
3.4033	2.0	1024	3.4368	0.0878	0.1481	0.1960	0.2996
3.3245	2.12	1088	3.4500	0.0894	0.1509	0.1972	0.3019
3.2943	2.25	1152	3.4536	0.0887	0.1485	0.1995	0.3015
3.3332	2.38	1216	3.4468	0.0900	0.1488	0.2005	0.3004
3.3483	2.5	1280	3.4377	0.0924	0.1523	0.2044	0.3035
3.3408	2.62	1344	3.4341	0.0923	0.1519	0.2066	0.3050
3.343	2.75	1408	3.4293	0.0928	0.1527	0.2052	0.3054
3.3487	2.88	1472	3.4235	0.0921	0.1525	0.2040	0.3038
3.348	3.0	1536	3.4169	0.0956	0.1563	0.2112	0.3108
3.2211	3.12	1600	3.4374	0.0966	0.1569	0.2123	0.3091
3.2275	3.25	1664	3.4398	0.0953	0.1549	0.2068	0.3073
3.2523	3.38	1728	3.4343	0.0967	0.1556	0.2109	0.3076
3.2741	3.5	1792	3.4355	0.0980	0.1561	0.2147	0.3081
3.2815	3.62	1856	3.4259	0.0994	0.1589	0.2160	0.3112
3.2517	3.75	1920	3.4184	0.0984	0.1577	0.2179	0.3116
3.2801	3.88	1984	3.4134	0.0996	0.1592	0.2173	0.3131
3.2925	4.0	2048	3.4088	0.1019	0.1606	0.2198	0.3153

Framework versions

Transformers 4.20.1
Pytorch 1.12.1+cu102
Datasets 2.0.0
Tokenizers 0.11.0

Task: Text Classification
Library: transformers
Type: bert
Created: Sep 6, 2023
Updated: Sep 6, 2023