scifive_five_epoch – AI Model by vsamuel | AlphaNeural AI

You can deploy this model and start earning money today!

vsamuel/
scifive_five_epoch

like

0

text2text-generation

generated_from_trainer

razent/SciFive-base-Pubmed_PMC

text-generation-inference

endpoints_compatible

Views

No views yet

scifive_five_epoch

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

Loss: 1.9038
Rouge1: 0.3532
Rouge2: 0.1988
Rougel: 0.2922
Rougelsum: 0.2938
Gen Len: 17.78

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: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	275	2.2317	0.2625	0.1384	0.2222	0.2216	16.68
2.4127	2.0	550	2.0008	0.3456	0.1909	0.2904	0.2898	18.24
2.4127	3.0	825	1.9520	0.3624	0.2103	0.3047	0.3048	17.88
1.8512	4.0	1100	1.9108	0.3694	0.2119	0.3056	0.3063	17.84
1.8512	5.0	1375	1.9038	0.3532	0.1988	0.2922	0.2938	17.78

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1