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

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

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