billsum-t5-small – AI Model by gurudatta11 | AlphaNeural AI

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gurudatta11/
billsum-t5-small

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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billsum-t5-small

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

Loss: 2.4770
Rouge1: 0.1552
Rouge2: 0.059
Rougel: 0.1275
Rougelsum: 0.1275
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	2.6042	0.1399	0.0499	0.1148	0.1145	19.0
No log	2.0	124	2.5220	0.1478	0.0538	0.1203	0.1202	19.0
No log	3.0	186	2.4874	0.1544	0.0581	0.1266	0.1265	19.0
No log	4.0	248	2.4770	0.1552	0.059	0.1275	0.1275	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1