my_awesome_billsum_model – AI Model by srinivassateesh | AlphaNeural AI

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srinivassateesh/
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 t5-small on the billsum dataset. It achieves the following results on the evaluation set:

Loss: 2.5182
Rouge1: 0.1368
Rouge2: 0.0502
Rougel: 0.1138
Rougelsum: 0.1139
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	2.8068	0.1255	0.0374	0.1026	0.1025	19.0
No log	2.0	124	2.5982	0.1312	0.0453	0.1084	0.1083	19.0
No log	3.0	186	2.5357	0.1373	0.0516	0.1147	0.1148	19.0
No log	4.0	248	2.5182	0.1368	0.0502	0.1138	0.1139	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3