mBART_billsum_desc_LT_Freeze_model_en_NEU – AI Model by NastasiaM | AlphaNeural AI

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NastasiaM/
mBART_billsum_desc_LT_Freeze_model_en_NEU

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facebook/mbart-large-50

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mBART_billsum_desc_LT_Freeze_model_en_NEU

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2066
Rouge1: 0.4401
Rouge2: 0.2455
Rougel: 0.3298
Rougelsum: 0.3296
Gen Len: 116.67

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: 2
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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
6.5358	1.0	500	3.3117	0.0	0.0	0.0	0.0	128.0
2.7822	2.0	1000	2.4640	0.2266	0.127	0.1758	0.1777	121.46
2.0449	3.0	1500	2.2481	0.3905	0.2189	0.2956	0.2967	114.77
1.7235	4.0	2000	2.2066	0.4401	0.2455	0.3298	0.3296	116.67

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1