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tst-summarization – AI Model by sudoLife | AlphaNeural AI | AlphaNeural AI

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tst-summarization

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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tst-summarization

This model is a fine-tuned version of t5-small on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:

Loss: 1.6418
Rouge1: 41.607
Rouge2: 19.2272
Rougel: 29.4514
Rougelsum: 38.8228
Gen Len: 73.8731

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.29.2
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3