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pegasus-samsum-5
Yanjie24/pegasus-samsum-5
pegasus-samsum-5 is a machine learning model from Yanjie24. 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
- Dec 10, 2022
- Updated
- Dec 11, 2022
- SHA
- 7ee1cb9e
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-5
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: 1.3386
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6957 | 0.54 | 500 | 1.4857 |
| 1.4033 | 1.09 | 1000 | 1.4117 |
| 1.497 | 1.63 | 1500 | 1.3742 |
| 1.4132 | 2.17 | 2000 | 1.3582 |
| 1.3858 | 2.72 | 2500 | 1.3482 |
| 1.2908 | 3.26 | 3000 | 1.3477 |
| 1.2357 | 3.8 | 3500 | 1.3386 |
| 1.2499 | 4.35 | 4000 | 1.3419 |
| 1.2349 | 4.89 | 4500 | 1.3386 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- pegasus
- Created
- Dec 10, 2022
- Updated
- Dec 11, 2022