distilbert_twitterfin_padding20model – AI Model by Realgon | AlphaNeural AI

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Realgon/
distilbert_twitterfin_padding20model

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert_twitterfin_padding20model

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1861
Accuracy: 0.8664

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
0.6755	1.0	597	0.4424	0.8312
0.3928	2.0	1194	0.3581	0.8756
0.2881	3.0	1791	0.4017	0.8702
0.1946	4.0	2388	0.5543	0.8706
0.1448	5.0	2985	0.6680	0.8585
0.0613	6.0	3582	0.7264	0.8585
0.0517	7.0	4179	0.8782	0.8446
0.0459	8.0	4776	0.9466	0.8539
0.0331	9.0	5373	0.8594	0.8693
0.0285	10.0	5970	0.9603	0.8606
0.02	11.0	6567	1.0244	0.8585
0.0173	12.0	7164	1.0103	0.8610
0.017	13.0	7761	1.0972	0.8652
0.0102	14.0	8358	1.1062	0.8660
0.0052	15.0	8955	1.1196	0.8664
0.0054	16.0	9552	1.1968	0.8681
0.0072	17.0	10149	1.1564	0.8664
0.001	18.0	10746	1.1946	0.8723
0.0043	19.0	11343	1.1976	0.8689
0.0021	20.0	11940	1.1861	0.8664

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3