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pegasus-neutralization – AI Model by pbedmar | AlphaNeural AI
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pbedmar
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pegasus-neutralization
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transformers
safetensors
pegasus
text2text-generation
simplification
generated_from_trainer
naimur900/pegasus_xlsum
finetune
endpoints_compatible
us
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pegasus-neutralization
This model is a fine-tuned version of
naimur900/pegasus_xlsum
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3032
Bleu: 51.5489
Gen Len: 43.0208
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: 2
eval_batch_size: 2
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.2645
1.0
1757
0.3032
51.5489
43.0208
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1