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pegasus-neutralization – AI Model by macordob | AlphaNeural AI
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macordob
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pegasus-neutralization
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transformers
safetensors
pegasus
text2text-generation
simplification
generated_from_trainer
google/pegasus-large
finetune
endpoints_compatible
us
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pegasus-neutralization
This model is a fine-tuned version of
google/pegasus-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0924
Bleu: 87.9207
Gen Len: 35.25
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: 8
eval_batch_size: 8
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
No log
1.0
440
0.1099
87.5309
35.25
0.2393
2.0
880
0.0924
87.9207
35.25
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1