my_T5_summarization_model – AI Model by dmen24 | AlphaNeural AI

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my_T5_summarization_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_T5_summarization_model

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

Loss: 1.9477
Rouge1: 0.2277
Rouge2: 0.1286
Rougel: 0.1988
Rougelsum: 0.1988
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
2.156	1.0	5348	2.0181	0.2264	0.1267	0.1971	0.1972	19.0
2.1095	2.0	10696	1.9737	0.227	0.1276	0.1977	0.1978	19.0
2.0867	3.0	16044	1.9545	0.2277	0.1285	0.1987	0.1988	19.0
2.0577	4.0	21392	1.9477	0.2277	0.1286	0.1988	0.1988	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1