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pegasus-finetuned-bill-117
etav22/pegasus-finetuned-bill-117
pegasus-finetuned-bill-117 is a machine learning model from etav22. 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 4, 2024
- Updated
- Mar 4, 2024
- SHA
- 8dde6e3b
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-finetuned-bill-117
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5613
- Rouge1: 0.4412
- Rouge2: 0.2895
- Rougel: 0.3835
- Rougelsum: 0.3837
- Gen Len: 36.47
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 5.3433 | 1.0 | 125 | 4.6582 | 0.426 | 0.2646 | 0.3612 | 0.3611 | 36.41 |
| 4.9605 | 2.0 | 250 | 4.5613 | 0.4412 | 0.2895 | 0.3835 | 0.3837 | 36.47 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- pegasus
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024