my_awesome_billsum_model – AI Model by Agastaya | AlphaNeural AI

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Agastaya/
my_awesome_billsum_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_awesome_billsum_model

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: 1.3699
Rouge1: 0.4021
Rouge2: 0.14
Rougel: 0.4003
Rougelsum: 0.4025
Gen Len: 4.715

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	50	4.9212	0.0096	0.0011	0.0092	0.0097	18.795
No log	2.0	100	2.6050	0.0648	0.0017	0.0632	0.0636	17.17
No log	3.0	150	1.6131	0.3125	0.09	0.3105	0.3137	7.885
No log	4.0	200	1.3699	0.4021	0.14	0.4003	0.4025	4.715

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2