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pegasus-x-base-finetuned-paper
alphahg/pegasus-x-base-finetuned-paper
pegasus-x-base-finetuned-paper is a machine learning model from alphahg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- pegasus_x
- Access
- Public
- Created
- Jan 25, 2023
- Updated
- Jan 25, 2023
- SHA
- c04e2fc2
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- pegasus_x
- Created
- Jan 25, 2023
- Updated
- Jan 25, 2023