mycustom_summarization_model – AI Model by Asilkan | AlphaNeural AI

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Asilkan/
mycustom_summarization_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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mycustom_summarization_model

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

Loss: 2.5992
Rouge1: 0.1386
Rouge2: 0.0475
Rougel: 0.1129
Rougelsum: 0.1129
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8842	0.1287	0.0356	0.1075	0.1078	19.0
No log	2.0	124	2.6762	0.1303	0.0427	0.1086	0.1086	19.0
No log	3.0	186	2.6165	0.1352	0.046	0.1112	0.111	19.0
No log	4.0	248	2.5992	0.1386	0.0475	0.1129	0.1129	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3