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pegasus-x-base-finetuned-samsum
sohamchougule/pegasus-x-base-finetuned-samsum
pegasus-x-base-finetuned-samsum is a machine learning model from sohamchougule. 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_x
- Access
- Public
- Created
- Apr 7, 2023
- Updated
- Apr 7, 2023
- SHA
- 7c9d95a0
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-x-base-finetuned-samsum
This model is a fine-tuned version of google/pegasus-x-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7441
- Rouge1: 43.0253
- Rouge2: 20.9504
- Rougel: 36.3838
- Rougelsum: 39.2974
- Gen Len: 17.6797
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: 1e-05
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9353 | 1.0 | 7366 | 1.7441 | 43.0253 | 20.9504 | 36.3838 | 39.2974 | 17.6797 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- pegasus_x
- Created
- Apr 7, 2023
- Updated
- Apr 7, 2023