pegasus-neutralization – AI Model by frreboll | AlphaNeural AI

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frreboll/
pegasus-neutralization

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text2text-generation

generated_from_trainer

google/flan-t5-small

text-generation-inference

endpoints_compatible

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pegasus-neutralization

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

Loss: 0.0591
Bleu: 53.8853
Gen Len: 18.5417

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: 5.6e-05
train_batch_size: 4
eval_batch_size: 4
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.2739	1.0	879	0.0712	53.1688	18.5312
0.1131	2.0	1758	0.0591	53.8853	18.5417

Framework versions

Transformers 4.51.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4