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Pegasus_xsum_samsum
GlycerinLOL/Pegasus_xsum_samsum
Pegasus_xsum_samsum is a machine learning model from GlycerinLOL. 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
- Feb 2, 2024
- Updated
- Feb 2, 2024
- SHA
- c590e842
Base models
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_xsum_samsum
This model is a fine-tuned version of google/pegasus-xsum on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4709
- Rouge1: 0.5072
- Rouge2: 0.2631
- Rougel: 0.4243
- Rougelsum: 0.4244
- Gen Len: 19.1479
- Precision: 0.9247
- Recall: 0.9099
- F1: 0.917
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.9542 | 1.0 | 920 | 1.5350 | 0.4928 | 0.2436 | 0.4085 | 0.4086 | 18.5672 | 0.9229 | 0.9074 | 0.9149 |
| 1.6331 | 2.0 | 1841 | 1.4914 | 0.5037 | 0.257 | 0.4202 | 0.4206 | 18.8154 | 0.9246 | 0.9092 | 0.9166 |
| 1.5694 | 3.0 | 2762 | 1.4761 | 0.5071 | 0.259 | 0.4212 | 0.4214 | 19.4487 | 0.9241 | 0.9103 | 0.917 |
| 1.5374 | 4.0 | 3680 | 1.4709 | 0.5072 | 0.2631 | 0.4243 | 0.4244 | 19.1479 | 0.9247 | 0.9099 | 0.917 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0
- Library
- transformers
- Type
- pegasus
- Created
- Feb 2, 2024
- Updated
- Feb 2, 2024