bart-base-legal-summarizer – AI Model by easwar03 | AlphaNeural AI

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easwar03/
bart-base-legal-summarizer

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-base-legal-summarizer

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

Loss: 2.3425
Rouge1: 33.2731
Rouge2: 16.5293
Rougel: 29.1491
Rougelsum: 29.7726
Gen Len: 15.5

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: 2
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	178	2.4487	27.4622	10.7691	23.652	24.1204	15.1333
No log	2.0	356	2.3498	34.4	17.7132	30.1947	30.5913	14.8222
2.2551	3.0	534	2.3425	33.2731	16.5293	29.1491	29.7726	15.5

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1