N_roberta_imdb_padding30model – AI Model by Realgon | AlphaNeural AI

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Realgon/
N_roberta_imdb_padding30model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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N_roberta_imdb_padding30model

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

Loss: 0.4323
Accuracy: 0.9505

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
0.2137	1.0	1563	0.2731	0.9326
0.1664	2.0	3126	0.1977	0.9475
0.1079	3.0	4689	0.2742	0.9441
0.0728	4.0	6252	0.2245	0.9474
0.0479	5.0	7815	0.2897	0.9496
0.0405	6.0	9378	0.3329	0.9473
0.0428	7.0	10941	0.3308	0.9452
0.0285	8.0	12504	0.3586	0.9468
0.0242	9.0	14067	0.3599	0.9459
0.0193	10.0	15630	0.3755	0.9444
0.0133	11.0	17193	0.3994	0.9445
0.0178	12.0	18756	0.3940	0.9486
0.0081	13.0	20319	0.4090	0.9479
0.0064	14.0	21882	0.4170	0.9500
0.004	15.0	23445	0.4484	0.9434
0.0031	16.0	25008	0.4368	0.9484
0.0043	17.0	26571	0.4170	0.9496
0.0053	18.0	28134	0.4129	0.9501
0.0026	19.0	29697	0.4325	0.9498
0.0029	20.0	31260	0.4323	0.9505

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3