t5_Summary – AI Model by Nettem-Gayathri | AlphaNeural AI

You can deploy this model and start earning money today!

Nettem-Gayathri/
t5_Summary

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

my_fine_tuned_t5_small_model

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

Loss: 2.4866
Rouge1: 0.144
Rouge2: 0.0504
Rougel: 0.1189
Rougelsum: 0.1189
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.7842	0.1352	0.0389	0.1134	0.1135	19.0
No log	2.0	124	2.5686	0.1386	0.0459	0.1159	0.1162	19.0
No log	3.0	186	2.5040	0.141	0.0488	0.1161	0.1162	19.0
No log	4.0	248	2.4866	0.144	0.0504	0.1189	0.1189	19.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1