t5-small-finetuned-cnn-news – AI Model by rahuljainx911 | AlphaNeural AI

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rahuljainx911/
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: 24.3421
Rouge2: 9.2344
Rougel: 19.8499
Rougelsum: 22.4753

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	24.2675	9.2838	19.9394	22.4848
1.8509	2.0	1436	2.1768	24.6433	9.849	20.3102	22.6151
1.6881	3.0	2154	2.1883	24.8843	9.45	20.4272	23.0716
1.569	4.0	2872	2.2127	25.0234	9.9727	20.8242	23.2797
1.4801	5.0	3590	2.2247	24.3421	9.2344	19.8499	22.4753

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0