Text_Summarization – AI Model by nikhilwani | AlphaNeural AI

You can deploy this model and start earning money today!

nikhilwani/
Text_Summarization

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

Text_Summarization

This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:

Loss: 2.5015
Rouge1: 0.1447
Rouge2: 0.0522
Rougel: 0.1204
Rougelsum: 0.1202
Gen Len: 19.0

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.7888	0.1267	0.0351	0.1053	0.1051	19.0
No log	2.0	124	2.5770	0.1336	0.0452	0.1108	0.1107	19.0
No log	3.0	186	2.5178	0.1439	0.0513	0.1188	0.1185	19.0
No log	4.0	248	2.5015	0.1447	0.0522	0.1204	0.1202	19.0

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3