my_awesome_billsum_model – AI Model by PawarKishori | AlphaNeural AI

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PawarKishori/
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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5805
Rouge1: 0.1379
Rouge2: 0.0457
Rougel: 0.1151
Rougelsum: 0.1152
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	2.8737	0.1244	0.0316	0.1039	0.1037	19.0
No log	2.0	124	2.6599	0.1356	0.0457	0.1144	0.1142	19.0
No log	3.0	186	2.5969	0.1374	0.045	0.1145	0.1144	19.0
No log	4.0	248	2.5805	0.1379	0.0457	0.1151	0.1152	19.0

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2