This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the legal-definitions dataset. It achieves the following results on the evaluation set:

Loss: 1.5162

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.7317	1.0	6401	1.6642
1.5578	2.0	12802	1.5784
1.5051	3.0	19203	1.4970

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

muhtasham/bert-small-finetuned-legal-definitions

bert_uncased_L-4_H-512_A-8-finetuned-legal-definitions

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
bert-small-finetuned-legal-definitions