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pegasus-paraphrase-finetuned-parasci – AI Model by domenicrosati | AlphaNeural AI
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pegasus-paraphrase-finetuned-parasci
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transformers
pytorch
tensorboard
pegasus
text2text-generation
paraphrasing
generated_from_trainer
endpoints_compatible
us
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pegasus-paraphrase-finetuned-parasci
This model is a fine-tuned version of
domenicrosati/pegasus-paraphrase-finetuned-parasci
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
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: 12
eval_batch_size: 6
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
1.8956
1.0
28227
nan
0.0
0.0
0.0
0.0
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
