t5-small-finetuned-cnn-news – AI Model by Deepanshu7284 | AlphaNeural AI

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Deepanshu7284/
t5-small-finetuned-cnn-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-cnn-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: 2.2247
Rouge1: 24.0545
Rouge2: 9.1969
Rougel: 19.6469
Rougelsum: 22.1421

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: 0.00056
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.082	1.0	718	2.1358	23.8021	9.0803	19.6319	22.0566
1.8509	2.0	1436	2.1768	24.3438	9.8133	20.1128	22.2535
1.6881	3.0	2154	2.1883	24.4024	9.3123	20.1964	22.642
1.569	4.0	2872	2.2127	24.4912	9.8559	20.5182	22.7666
1.4801	5.0	3590	2.2247	24.0545	9.1969	19.6469	22.1421

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1