my_awesome_billsum_model – AI Model by kaiserskoolaid | AlphaNeural AI

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kaiserskoolaid/
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 google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4044
Rouge1: 0.2057
Rouge2: 0.102
Rougel: 0.1711
Rougelsum: 0.1712
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: 4
eval_batch_size: 8
seed: 42
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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	248	2.5336	0.1621	0.0657	0.1329	0.133	20.0
No log	2.0	496	2.4514	0.2016	0.0981	0.166	0.166	20.0
2.7001	3.0	744	2.4132	0.2061	0.1028	0.1709	0.171	20.0
2.7001	4.0	992	2.4044	0.2057	0.102	0.1711	0.1712	20.0

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0