my_awesome_billsum_model – AI Model by Audi24 | AlphaNeural AI | AlphaNeural AI

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Audi24/
my_awesome_billsum_model

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text2text-generation

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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: 2.5663
Rouge1: 0.1383
Rouge2: 0.0472
Rougel: 0.1145
Rougelsum: 0.1142
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	2.8541	0.123	0.0362	0.1043	0.104	19.0
No log	2.0	124	2.6482	0.1313	0.0446	0.1096	0.1096	19.0
No log	3.0	186	2.5831	0.1361	0.0461	0.1126	0.1124	19.0
No log	4.0	248	2.5663	0.1383	0.0472	0.1145	0.1142	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3