my_awesome_billsum_model – AI Model by djimbe | AlphaNeural AI

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djimbe/
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 indosum dataset. It achieves the following results on the evaluation set:

Loss: 0.4806
Rouge1: 0.2065
Rouge2: 0.1639
Rougel: 0.2038
Rougelsum: 0.2038
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
0.7495	1.0	892	0.5226	0.2061	0.1635	0.2033	0.2033	19.0
0.5326	2.0	1784	0.4929	0.2063	0.1639	0.2037	0.2037	19.0
0.4982	3.0	2676	0.4840	0.2065	0.1639	0.2038	0.2037	19.0
0.4958	4.0	3568	0.4806	0.2065	0.1639	0.2038	0.2038	19.0

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1