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my_awesome_billsum_model_Prefix – AI Model by quansuv | AlphaNeural AI

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quansuv/
my_awesome_billsum_model_Prefix

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google-t5/t5-small

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my_awesome_billsum_model_Prefix

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

Loss: 1.9690
Rouge1: 0.3198
Rouge2: 0.1022
Rougel: 0.1868
Rougelsum: 0.1868
Gen Len: 89.0

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: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 0
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.15.2.dev0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1