my_awesome_billsum_model – AI Model by rodrigorcarmo | AlphaNeural AI

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rodrigorcarmo/
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: 2.5289
Rouge1: 0.1337
Rouge2: 0.0427
Rougel: 0.1108
Rougelsum: 0.1108
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	2.8224	0.1225	0.034	0.1031	0.1031	19.0
No log	2.0	124	2.6106	0.1312	0.0435	0.11	0.1099	19.0
No log	3.0	186	2.5465	0.1347	0.043	0.1111	0.1112	19.0
No log	4.0	248	2.5289	0.1337	0.0427	0.1108	0.1108	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1