cnn_news_summary_model_trained_on_reduced_data – AI Model by M-Rizwan0099 | AlphaNeural AI

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M-Rizwan0099/
cnn_news_summary_model_trained_on_reduced_data

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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cnn_news_summary_model_trained_on_reduced_data

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

Loss: 1.5027
Rouge1: 0.223
Rouge2: 0.0955
Rougel: 0.1859
Rougelsum: 0.1859
Gen Len: 19.9994

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: 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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	431	1.5091	0.222	0.0954	0.1853	0.1854	19.9994
1.6772	2.0	862	1.5046	0.2223	0.0953	0.1854	0.1855	19.9994
1.6703	3.0	1293	1.5027	0.223	0.0955	0.1859	0.1859	19.9994

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Tokenizers 0.21.0