t5-small-finetuned-Lucence – AI Model by GalGold | AlphaNeural AI | AlphaNeural AI

You can deploy this model and start earning money today!

GalGold/
t5-small-finetuned-Lucence

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small-finetuned-Lucence

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1174
Rouge2 Precision: 0.7295
Rouge2 Recall: 0.6986
Rouge2 Fmeasure: 0.7058

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.1645	1.0	2914	0.1430	0.6893	0.6558	0.6632
0.1399	2.0	5828	0.1276	0.7171	0.6826	0.6912
0.1288	3.0	8742	0.1215	0.7238	0.6924	0.6997
0.122	4.0	11656	0.1182	0.7276	0.6963	0.7037
0.1196	5.0	14570	0.1174	0.7295	0.6986	0.7058

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3