legal_ner_model – AI Model by ssanskar9 | AlphaNeural AI

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ssanskar9/
legal_ner_model

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token-classification

generated_from_trainer

FacebookAI/roberta-base

endpoints_compatible

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legal_ner_model

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1039
Model Preparation Time: 0.0049
Accuracy: 0.9740
Precision: 0.9520
Recall: 0.9430
F1: 0.9475

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy	Precision	Recall	F1
0.1464	1.0	1375	0.1224	0.0049	0.9647	0.9364	0.9204	0.9284
0.0969	2.0	2750	0.1027	0.0049	0.9723	0.9523	0.9355	0.9438
0.0814	3.0	4125	0.1039	0.0049	0.9740	0.9520	0.9430	0.9475

Framework versions

Transformers 4.55.4
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4