bart-finetuned-pubmed – AI Model by gayanin | AlphaNeural AI

You can deploy this model and start earning money today!

gayanin/
bart-finetuned-pubmed

like

0

text2text-generation

generated_from_trainer

endpoints_compatible

Views

No views yet

bart-finetuned-pubmed

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: 1.5363
Rouge2 Precision: 0.3459
Rouge2 Recall: 0.2455
Rouge2 Fmeasure: 0.2731

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: 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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
1.652	1.0	1125	1.5087	0.3647	0.2425	0.2772
1.4695	2.0	2250	1.5039	0.3448	0.2457	0.2732
1.3714	3.0	3375	1.4842	0.3509	0.2474	0.277
1.2734	4.0	4500	1.4901	0.3452	0.2426	0.2716
1.1853	5.0	5625	1.5152	0.3658	0.2371	0.2744
1.0975	6.0	6750	1.5133	0.3529	0.2417	0.2729
1.0448	7.0	7875	1.5203	0.3485	0.2464	0.275
0.9999	8.0	9000	1.5316	0.3437	0.2435	0.2719
0.9732	9.0	10125	1.5338	0.3464	0.2446	0.2732
0.954	10.0	11250	1.5363	0.3459	0.2455	0.2731

Framework versions

Transformers 4.12.3
Pytorch 1.9.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3