bert-base-uncased-issues-128 – AI Model by bh8648 | AlphaNeural AI

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bert-base-uncased-issues-128

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google-bert/bert-base-uncased

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bert-base-uncased-issues-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: 6.5337

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: 32
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
2.1064	1.0	291	1.6942
1.6327	2.0	582	1.3707
1.4819	3.0	873	1.4033
1.3965	4.0	1164	1.4341
4.5167	5.0	1455	6.2129
6.1184	6.0	1746	6.2606
5.9894	7.0	2037	6.2949
5.9044	8.0	2328	6.3017
5.8635	9.0	2619	6.3110
5.8388	10.0	2910	6.4275
5.793	11.0	3201	6.3408
5.7428	12.0	3492	6.4123
5.7203	13.0	3783	6.4774
5.7021	14.0	4074	6.4178
5.6754	15.0	4365	6.5968
5.6586	16.0	4656	6.5337

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.10.1
Tokenizers 0.13.3