summarization_model – AI Model by umairaziz719 | AlphaNeural AI

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umairaziz719/
summarization_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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summarization_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: 2.4079
Rouge1: 0.1935
Rouge2: 0.0918
Rougel: 0.1631
Rougelsum: 0.1629
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	2.4772	0.1595	0.0642	0.1328	0.1326	19.0
No log	2.0	124	2.4328	0.1864	0.087	0.1582	0.1578	19.0
No log	3.0	186	2.4154	0.1933	0.0916	0.163	0.1627	19.0
No log	4.0	248	2.4079	0.1935	0.0918	0.1631	0.1629	19.0

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1