bert-base-uncased-transformers-github-128 – AI Model by GV05 | AlphaNeural AI

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bert-base-uncased-transformers-github-128

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bert-base-uncased-transformers-github-128

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: 1.2348

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
2.0247	1.0	582	1.6457
1.5989	2.0	1164	1.4157
1.4449	3.0	1746	1.3494
1.3579	4.0	2328	1.3774
1.3039	5.0	2910	1.1908
1.2428	6.0	3492	1.2780
1.19	7.0	4074	1.2569
1.1544	8.0	4656	1.1927
1.126	9.0	5238	1.1703
1.0893	10.0	5820	1.2100
1.0631	11.0	6402	1.1988
1.0417	12.0	6984	1.1643
1.0252	13.0	7566	1.2202
1.0101	14.0	8148	1.1678
0.9972	15.0	8730	1.0999
0.995	16.0	9312	1.2348

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2