billsum_model – AI Model by ae-314 | AlphaNeural AI

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ae-314/
billsum_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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billsum_model

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: 2.5203
Rouge1: 0.1478
Rouge2: 0.0536
Rougel: 0.1237
Rougelsum: 0.1236
Gen Len: 20.0

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	2.8114	0.132	0.0395	0.1117	0.1115	20.0
No log	2.0	124	2.5983	0.1384	0.0478	0.1169	0.1169	20.0
No log	3.0	186	2.5372	0.1468	0.0545	0.1236	0.1235	20.0
No log	4.0	248	2.5203	0.1478	0.0536	0.1237	0.1236	20.0

Framework versions

Transformers 5.0.0.dev0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1