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pegasus-samsum
lvwerra/pegasus-samsum
pegasus-samsum is a machine learning model from lvwerra. 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 2, 2022
- Updated
- Oct 25, 2021
- SHA
- 8791cbe5
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-samsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4177
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 0.4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6092 | 0.03 | 500 | 1.6488 |
| 1.9715 | 0.07 | 1000 | 1.5444 |
| 1.8325 | 0.1 | 1500 | 1.5093 |
| 1.876 | 0.14 | 2000 | 1.4890 |
| 1.3081 | 0.17 | 2500 | 1.4737 |
| 1.7769 | 0.2 | 3000 | 1.4496 |
| 1.6276 | 0.24 | 3500 | 1.4430 |
| 1.6624 | 0.27 | 4000 | 1.4288 |
| 1.9202 | 0.31 | 4500 | 1.4235 |
| 1.4404 | 0.34 | 5000 | 1.4189 |
| 1.8016 | 0.37 | 5500 | 1.4177 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- pegasus
- Created
- Mar 2, 2022
- Updated
- Oct 25, 2021