bart-base-finetuned-EDGAR – AI Model by kushagrakiyawat | AlphaNeural AI

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kushagrakiyawat/
bart-base-finetuned-EDGAR

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-base-finetuned-EDGAR

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9499
Rouge1: 0.1491
Rouge2: 0.0557
Rougel: 0.124
Rougelsum: 0.1408

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: 5.6e-05
train_batch_size: 4
eval_batch_size: 4
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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.3678	1.0	10	2.4599	0.121	0.0347	0.103	0.1148
2.4394	2.0	20	2.1755	0.1499	0.0436	0.1159	0.1388
2.0066	3.0	30	2.0285	0.1427	0.053	0.1184	0.1314
1.808	4.0	40	1.9752	0.1493	0.0543	0.1231	0.1428
1.6657	5.0	50	1.9499	0.1491	0.0557	0.124	0.1408

Framework versions

Transformers 4.51.3
Pytorch 2.9.1+cu130
Datasets 4.4.1
Tokenizers 0.21.4