uklegalbert – AI Model by 3huvan | AlphaNeural AI

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3huvan/
uklegalbert

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text-classification

generated_from_trainer

nlpaueb/legal-bert-base-uncased

text-embeddings-inference

endpoints_compatible

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uklegalbert

This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3891
Macro F1: 0.4109
Weighted F1: 0.6221
Accuracy: 0.6447

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: 3e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Weighted F1	Accuracy
0.7645	1.0	1320	1.1541	0.4695	0.6510	0.6630
0.4536	2.0	2640	1.4663	0.4178	0.6098	0.6242
0.2191	3.0	3960	1.7202	0.4225	0.6154	0.6270
0.1215	4.0	5280	2.1909	0.4125	0.6180	0.6417
0.0520	5.0	6600	2.3891	0.4109	0.6221	0.6447

Framework versions

Transformers 5.12.0
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.22.2