t5-small-finetuned-cnn_daily_mail – AI Model by AndreiRabau | AlphaNeural AI

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AndreiRabau/
t5-small-finetuned-cnn_daily_mail

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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_daily_mail

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

Loss: 1.7514
Rouge1: 0.2491
Rouge2: 0.1149
Rougel: 0.2049
Rougelsum: 0.2331

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.9261	1.0	1795	1.7650	0.2493	0.1157	0.2061	0.2340
1.8406	2.0	3590	1.7510	0.2471	0.1157	0.2047	0.2319
1.7986	3.0	5385	1.7492	0.2488	0.1144	0.2046	0.2327
1.7705	4.0	7180	1.7514	0.2491	0.1149	0.2049	0.2331

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3