my_awesome_billsum_model_32 – AI Model by limaatulya | AlphaNeural AI

You can deploy this model and start earning money today!

limaatulya/
my_awesome_billsum_model_32

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

my_awesome_billsum_model_32

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

Loss: 0.6953
Rouge1: 0.9328
Rouge2: 0.7819
Rougel: 0.8546
Rougelsum: 0.857
Gen Len: 5.2083

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	12	2.1371	0.3875	0.2627	0.3679	0.3672	17.5625
No log	2.0	24	1.6293	0.4137	0.286	0.3928	0.3924	16.5625
No log	3.0	36	1.1556	0.478	0.347	0.4538	0.4505	14.6458
No log	4.0	48	0.8702	0.7792	0.6558	0.7344	0.7311	8.2708
No log	5.0	60	0.7539	0.9328	0.7819	0.8546	0.857	5.2083
No log	6.0	72	0.7230	0.9328	0.7819	0.8546	0.857	5.2083
No log	7.0	84	0.7094	0.9328	0.7819	0.8546	0.857	5.2083
No log	8.0	96	0.7026	0.9328	0.7819	0.8546	0.857	5.2083
No log	9.0	108	0.6978	0.9328	0.7819	0.8546	0.857	5.2083
No log	10.0	120	0.6953	0.9328	0.7819	0.8546	0.857	5.2083

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1