textsum6 – AI Model by Hanisnabila | AlphaNeural AI

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Hanisnabila/
textsum6

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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textsum6

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9513
Rouge1: 0.1022
Rouge2: 0.0619
Rougel: 0.0975
Rougelsum: 0.0975
Gen Len: 18.494

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5293	1.0	911	1.9513	0.1022	0.0619	0.0975	0.0975	18.494

Framework versions

Transformers 4.45.2
Pytorch 2.2.2+cu118
Datasets 3.0.1
Tokenizers 0.20.0