my_awesome_billsum_model – AI Model by NikiBase | AlphaNeural AI

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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: 2.7576
Rouge1: 0.1327
Rouge2: 0.0444
Rougel: 0.1111
Rougelsum: 0.1111
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	3.0485	0.1269	0.0387	0.1064	0.1065	19.0
No log	2.0	124	2.8371	0.1322	0.0468	0.1114	0.1114	19.0
No log	3.0	186	2.7747	0.1335	0.0464	0.1124	0.1123	19.0
No log	4.0	248	2.7576	0.1327	0.0444	0.1111	0.1111	19.0

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2