t5small_cnndailymail_abstractive – AI Model by yustafk | AlphaNeural AI

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yustafk/
t5small_cnndailymail_abstractive

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5small_cnndailymail_abstractive

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

Loss: 1.8689
Rouge1: 0.4195
Rouge2: 0.1951
Rougel: 0.2930

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: 0.0003
train_batch_size: 32
eval_batch_size: 32
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
4.1634	1.0	313	1.8715	0.4151	0.1902	0.2884
3.9638	2.0	626	1.8599	0.4194	0.1967	0.2925
3.8460	3.0	939	1.8650	0.4176	0.1954	0.2920
3.7676	4.0	1252	1.8609	0.4191	0.1950	0.2923
3.7123	5.0	1565	1.8689	0.4195	0.1951	0.2930

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2