t5-small-finetuned-news – AI Model by Aakkash | AlphaNeural AI

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Aakkash/
t5-small-finetuned-news

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-news

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

Loss: 1.9959
Rouge1: 0.3606
Rouge2: 0.1649
Rougel: 0.2945
Rougelsum: 0.2945
Gen Len: 18.7588

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
2.2911	1.0	510	2.0560	0.3537	0.1569	0.2881	0.2883	18.7647
2.1554	2.0	1020	2.0139	0.3558	0.1611	0.2915	0.2917	18.7304
2.1213	3.0	1530	2.0008	0.3596	0.1643	0.2931	0.2929	18.7431
2.1109	4.0	2040	1.9959	0.3606	0.1649	0.2945	0.2945	18.7588

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3