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Pegasus-samsum-finetuned
vantaa32/Pegasus-samsum-finetuned
Pegasus-samsum-finetuned is a machine learning model from vantaa32. 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
- Access
- Public
- Created
- Mar 30, 2024
- Updated
- Mar 30, 2024
- SHA
- ff02b059
Base models
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-samsum-finetuned
This model is a fine-tuned version of google/pegasus-large on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3946
- eval_runtime: 23.313
- eval_samples_per_second: 21.447
- eval_steps_per_second: 21.447
- epoch: 0.65
- step: 600
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- pegasus
- Created
- Mar 30, 2024
- Updated
- Mar 30, 2024