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pegasus-xsum-finetuned-en-sum-2
october-sd/pegasus-xsum-finetuned-en-sum-2
pegasus-xsum-finetuned-en-sum-2 is a summarization model from october-sd. Use it when you need a shorter version of a longer text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 14, 2024
- SHA
- 3950bc49
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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-xsum-finetuned-en-sum-2
This model is a fine-tuned version of october-sd/pegasus-xsum-finetuned-en-sum on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.4990
- eval_runtime: 242.6814
- eval_samples_per_second: 20.603
- eval_steps_per_second: 2.575
- epoch: 2.0
- step: 1015
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2
- Task
- Summarization
- Library
- transformers
- Type
- pegasus
- Created
- Mar 13, 2024
- Updated
- Mar 14, 2024