N_roberta_agnews_padding30model – AI Model by Realgon | AlphaNeural AI

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Realgon/
N_roberta_agnews_padding30model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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N_roberta_agnews_padding30model

This model is a fine-tuned version of roberta-base on the ag_news dataset. It achieves the following results on the evaluation set:

Loss: 0.5706
Accuracy: 0.9478

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
0.1966	1.0	7500	0.2071	0.9384
0.1667	2.0	15000	0.1922	0.9466
0.1523	3.0	22500	0.2323	0.9438
0.1194	4.0	30000	0.2370	0.9438
0.105	5.0	37500	0.2791	0.9454
0.0836	6.0	45000	0.2917	0.9433
0.0711	7.0	52500	0.3344	0.9436
0.0586	8.0	60000	0.3723	0.9416
0.0396	9.0	67500	0.3977	0.9438
0.0369	10.0	75000	0.4096	0.9425
0.0312	11.0	82500	0.4293	0.9438
0.0259	12.0	90000	0.4286	0.9436
0.0241	13.0	97500	0.4529	0.9437
0.0129	14.0	105000	0.4749	0.9442
0.0057	15.0	112500	0.5355	0.9429
0.0083	16.0	120000	0.5056	0.9475
0.0062	17.0	127500	0.5138	0.9458
0.0062	18.0	135000	0.5368	0.9463
0.0026	19.0	142500	0.5647	0.9470
0.0031	20.0	150000	0.5706	0.9478

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3