tallboy_billsum – AI Model by tallb0y | AlphaNeural AI

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tallb0y/
tallboy_billsum

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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tallboy_billsum

This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:

Loss: 2.5423
Rouge1: 0.1384
Rouge2: 0.0458
Rougel: 0.1146
Rougelsum: 0.1148
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	2.8369	0.131	0.0369	0.1077	0.1074	19.0
No log	2.0	124	2.6242	0.1358	0.0411	0.1121	0.1121	19.0
No log	3.0	186	2.5585	0.1352	0.0443	0.1121	0.1123	19.0
No log	4.0	248	2.5423	0.1384	0.0458	0.1146	0.1148	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3