bert-base-uncased-finetuned-mbti-0830 – AI Model by GItaf | AlphaNeural AI

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GItaf/
bert-base-uncased-finetuned-mbti-0830

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text-generation

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autotrain_compatible

endpoints_compatible

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bert-base-uncased-finetuned-mbti-0830

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.1613

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
4.4259	1.0	9720	4.3466
4.2788	2.0	19440	4.2536
4.1928	3.0	29160	4.2074
4.1062	4.0	38880	4.1839
4.0502	5.0	48600	4.1715
4.0037	6.0	58320	4.1637
3.9575	7.0	68040	4.1603
3.9169	8.0	77760	4.1591
3.8915	9.0	87480	4.1602
3.8741	10.0	97200	4.1613

Framework versions

Transformers 4.21.2
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1