bart-abs-2409-1947-lr-3e-05-bs-8-maxep-6 – AI Model by roequitz | AlphaNeural AI

You can deploy this model and start earning money today!

roequitz/
bart-abs-2409-1947-lr-3e-05-bs-8-maxep-6

like

0

text2text-generation

generated_from_trainer

sshleifer/distilbart-xsum-12-6

endpoints_compatible

Views

No views yet

bart-abs-2409-1947-lr-3e-05-bs-8-maxep-6

This model is a fine-tuned version of sshleifer/distilbart-xsum-12-6 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.8980
Rouge/rouge1: 0.462
Rouge/rouge2: 0.2198
Rouge/rougel: 0.4014
Rouge/rougelsum: 0.4029
Bertscore/bertscore-precision: 0.8957
Bertscore/bertscore-recall: 0.8926
Bertscore/bertscore-f1: 0.894
Meteor: 0.4124
Gen Len: 37.3727

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge/rouge1	Rouge/rouge2	Rouge/rougel	Rouge/rougelsum	Bertscore/bertscore-precision	Bertscore/bertscore-recall	Bertscore/bertscore-f1	Meteor	Gen Len
0.1721	1.0	109	3.5761	0.4573	0.2036	0.3842	0.3851	0.8952	0.8917	0.8933	0.405	36.9727
0.1505	2.0	218	3.5724	0.45	0.1979	0.3854	0.3855	0.8956	0.8912	0.8933	0.3964	36.3273
0.1132	3.0	327	3.7251	0.4535	0.2052	0.385	0.3867	0.8955	0.8917	0.8934	0.4043	37.4273
0.0881	4.0	436	3.8461	0.4676	0.2097	0.397	0.3983	0.8967	0.8917	0.8941	0.4047	35.7091
0.0734	5.0	545	3.8385	0.458	0.21	0.3905	0.3919	0.8939	0.8927	0.8931	0.4105	38.0182
0.0612	6.0	654	3.8980	0.462	0.2198	0.4014	0.4029	0.8957	0.8926	0.894	0.4124	37.3727

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1