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pegasus-xsum-finetuned-cnn
ratanakthan/pegasus-xsum-finetuned-cnn
pegasus-xsum-finetuned-cnn is a machine learning model from ratanakthan. 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
- Sep 10, 2024
- Updated
- Sep 10, 2024
- SHA
- d73e844a
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-cnn
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.6115
- eval_rouge1: 41.1875
- eval_rouge2: 19.2632
- eval_rougeL: 28.8605
- eval_rougeLsum: 37.8906
- eval_gen_len: 59.36
- eval_runtime: 887.2653
- eval_samples_per_second: 1.127
- eval_steps_per_second: 0.282
- epoch: 2.0
- step: 4000
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- pegasus
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024