N_roberta_agnews_padding0model – AI Model by Realgon | AlphaNeural AI

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Realgon/
N_roberta_agnews_padding0model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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N_roberta_agnews_padding0model

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: 0.5421
Accuracy: 0.9501

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
0.1929	1.0	7500	0.2180	0.9363
0.1646	2.0	15000	0.2092	0.9455
0.1502	3.0	22500	0.2136	0.9478
0.1217	4.0	30000	0.2395	0.9476
0.1008	5.0	37500	0.2357	0.9501
0.0789	6.0	45000	0.3286	0.9420
0.0625	7.0	52500	0.3378	0.9439
0.0546	8.0	60000	0.4044	0.9443
0.0434	9.0	67500	0.4361	0.9412
0.0321	10.0	75000	0.4044	0.9453
0.0254	11.0	82500	0.4670	0.9455
0.0302	12.0	90000	0.4657	0.9438
0.0224	13.0	97500	0.4942	0.9432
0.0085	14.0	105000	0.5315	0.9449
0.0053	15.0	112500	0.5283	0.9455
0.01	16.0	120000	0.5004	0.9466
0.0061	17.0	127500	0.5430	0.9458
0.0042	18.0	135000	0.5116	0.9486
0.0034	19.0	142500	0.5379	0.9491
0.0022	20.0	150000	0.5421	0.9501

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3