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pegasus-tweet-sumL
drigger/pegasus-tweet-sumL
pegasus-tweet-sumL is a machine learning model from drigger. 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
- Apr 14, 2023
- Updated
- Apr 14, 2023
- SHA
- 9a65c4a6
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-tweet-sumL
This model is a fine-tuned version of transformersbook/pegasus-samsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6848
- Rouge1: 44.8046
- Rouge2: 23.4242
- Rougel: 36.5586
- Rougelsum: 41.3014
- Gen Len: 65.0861
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2021 | 1.0 | 750 | 1.6848 | 44.8046 | 23.4242 | 36.5586 | 41.3014 | 65.0861 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- pegasus
- Created
- Apr 14, 2023
- Updated
- Apr 14, 2023