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pegasus-x-base-finetuned-paper – AI Model by alphahg | AlphaNeural AI
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pegasus-x-base-finetuned-paper
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transformers
pytorch
tensorboard
pegasus_x
text2text-generation
generated_from_trainer
scientific_papers
endpoints_compatible
us
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pegasus-x-base-finetuned-paper
This model is a fine-tuned version of
google/pegasus-x-base
on the scientific_papers dataset.
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
Transformers 4.24.0
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.13.1
