my_awesome_billsum_model_test-1 – AI Model by jmtest | AlphaNeural AI

You can deploy this model and start earning money today!

jmtest/
my_awesome_billsum_model_test-1

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

my_awesome_billsum_model_test-1

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

Loss: 2.5677
Rouge1: 0.135
Rouge2: 0.0426
Rougel: 0.1108
Rougelsum: 0.1109
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	2.8609	0.1196	0.0301	0.1015	0.1014	19.0
No log	2.0	124	2.6490	0.1331	0.041	0.11	0.1103	19.0
No log	3.0	186	2.5855	0.1338	0.0418	0.1102	0.1102	19.0
No log	4.0	248	2.5677	0.135	0.0426	0.1108	0.1109	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3