my_awesome_billsum_model – AI Model by AHMED13245 | AlphaNeural AI

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AHMED13245/
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: 2.5776
Rouge1: 0.1368
Rouge2: 0.0458
Rougel: 0.1126
Rougelsum: 0.1123
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	2.8806	0.1227	0.0352	0.1027	0.1029	19.0
No log	2.0	124	2.6587	0.1318	0.043	0.11	0.1098	19.0
No log	3.0	186	2.5964	0.1353	0.0452	0.1114	0.1111	19.0
No log	4.0	248	2.5776	0.1368	0.0458	0.1126	0.1123	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1