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pegasus-multi_news-headline_57k
chinhon/pegasus-multi_news-headline_57k
pegasus-multi_news-headline_57k is a machine learning model from chinhon. 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
- Oct 14, 2022
- Updated
- Aug 6, 2023
- SHA
- 06435855
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-multi_news-headline_57k
This model is a fine-tuned version of google/pegasus-multi_news on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4503
- Rouge1: 42.3147
- Rouge2: 23.2213
- Rougel: 35.7441
- Rougelsum: 35.8964
- Gen Len: 33.8245
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6546 | 1.0 | 11339 | 1.5170 | 41.7822 | 22.7843 | 35.3913 | 35.5749 | 34.1139 |
| 1.5132 | 2.0 | 22678 | 1.4602 | 42.0161 | 22.9778 | 35.5357 | 35.6921 | 33.9944 |
| 1.4147 | 3.0 | 34017 | 1.4503 | 42.3147 | 23.2213 | 35.7441 | 35.8964 | 33.8245 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.0
- Tokenizers 0.13.1
- Library
- transformers
- Type
- pegasus
- Created
- Oct 14, 2022
- Updated
- Aug 6, 2023