bart-large-cnn-finetuned-p7_V2 – AI Model by laurenmit | AlphaNeural AI | AlphaNeural AI

You can deploy this model and start earning money today!

laurenmit/
bart-large-cnn-finetuned-p7_V2

like

0

text2text-generation

generated_from_trainer

endpoints_compatible

Views

No views yet

bart-large-cnn-finetuned-p7_V2

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

Loss: 1.0742
Rouge1: 54.2238
Rouge2: 44.1502
Rougel: 49.9702
Rougelsum: 51.9939
Gen Len: 65.3454

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: 1
eval_batch_size: 1
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
0.6948	1.0	910	0.8121	51.6637	41.9437	48.1988	49.7012	68.7993
0.3042	2.0	1820	0.9086	52.4291	42.1856	48.6079	50.2419	66.2829
0.1471	3.0	2730	1.0742	54.2238	44.1502	49.9702	51.9939	65.3454

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3