my_awesome_billsum_model – AI Model by raeseong | AlphaNeural AI

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raeseong/
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: 2.5120
Rouge1: 0.1394
Rouge2: 0.0526
Rougel: 0.115
Rougelsum: 0.1151
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	2.7966	0.1279	0.0411	0.1068	0.1067	19.0
No log	2.0	124	2.5904	0.1355	0.0483	0.1119	0.112	19.0
No log	3.0	186	2.5294	0.1407	0.0543	0.1161	0.1162	19.0
No log	4.0	248	2.5120	0.1394	0.0526	0.115	0.1151	19.0

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1