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: 1.3701

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: 64
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
1.4867	1.0	801	1.4951
1.429	2.0	1602	1.4872
1.4055	3.0	2403	1.4147
1.3703	4.0	3204	1.4231
1.3414	5.0	4005	1.4094
1.3254	6.0	4806	1.3913
1.3064	7.0	5607	1.3827
1.2967	8.0	6408	1.3905
1.2961	9.0	7209	1.3719
1.2824	10.0	8010	1.3701

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-longer

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
bert-small-finetuned-legal-definitions-longer