bert-base-uncased-EnglishLawAI – AI Model by Makabaka | AlphaNeural AI

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Makabaka/
bert-base-uncased-EnglishLawAI

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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: 1.5503

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6214	1.0	291	2.2471
2.0594	2.0	582	1.9293
1.8563	3.0	873	1.7961
1.7442	4.0	1164	1.7518
1.657	5.0	1455	1.7390
1.577	6.0	1746	1.7173
1.5071	7.0	2037	1.6223
1.4661	8.0	2328	1.5691
1.4365	9.0	2619	1.6280
1.3827	10.0	2910	1.4641
1.3517	11.0	3201	1.6498
1.3294	12.0	3492	1.3006
1.2836	13.0	3783	1.6520
1.2867	14.0	4074	1.6064
1.2819	15.0	4365	1.4131
1.2611	16.0	4656	1.5503

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1