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my_awesome_billsum_model_v2 – AI Model by saad17g | AlphaNeural AI

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saad17g/
my_awesome_billsum_model_v2

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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_v2

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

Loss: 4.7460
Rouge1: 0.1729
Rouge2: 0.0507
Rougel: 0.1066
Rougelsum: 0.106
Gen Len: 19.0
Bleu: 0.0003
Bert Precision: 0.8527
Bert Recall: 0.8075
Bert F1: 0.8292

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

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1