bbc_news_summarization – AI Model by KishalayGhoshKIIT | AlphaNeural AI

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KishalayGhoshKIIT/
bbc_news_summarization

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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bbc_news_summarization

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

Loss: 0.2741
Rouge1: 0.2016
Rouge2: 0.1454
Rougel: 0.1854
Rougelsum: 0.1852
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: 3
eval_batch_size: 3
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
0.7497	1.0	593	0.3231	0.1976	0.1387	0.1796	0.1795	19.0
0.4067	2.0	1186	0.2897	0.199	0.1412	0.1805	0.1806	19.0
0.3731	3.0	1779	0.2777	0.1993	0.142	0.1825	0.1822	19.0
0.3533	4.0	2372	0.2741	0.2016	0.1454	0.1854	0.1852	19.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1