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pegasus-cnn_dailymail-finetuned-roundup
theojolliffe/pegasus-cnn_dailymail-finetuned-roundup
pegasus-cnn_dailymail-finetuned-roundup is a machine learning model from theojolliffe. 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
- Oct 23, 2022
- Updated
- Oct 23, 2022
- SHA
- e387de37
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-cnn_dailymail-finetuned-roundup
This model is a fine-tuned version of google/pegasus-cnn_dailymail on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9488
- Rouge1: 55.4754
- Rouge2: 39.1074
- Rougel: 40.822
- Rougelsum: 47.3045
- Gen Len: 126.7778
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8482 | 1.0 | 795 | 1.3177 | 51.1349 | 32.0791 | 34.4191 | 41.2001 | 127.0 |
| 1.362 | 2.0 | 1590 | 1.1975 | 52.1955 | 33.7858 | 36.2998 | 42.5368 | 127.0 |
| 1.2847 | 3.0 | 2385 | 1.1299 | 53.3694 | 35.9817 | 39.2437 | 45.2062 | 127.0 |
| 1.1673 | 4.0 | 3180 | 1.0903 | 53.3629 | 35.173 | 37.7775 | 44.3446 | 126.8889 |
| 1.0943 | 5.0 | 3975 | 1.0525 | 54.6538 | 37.3115 | 39.5883 | 46.8043 | 127.0 |
| 1.0615 | 6.0 | 4770 | 1.0317 | 54.6794 | 36.7147 | 39.5731 | 45.8527 | 127.0 |
| 0.993 | 7.0 | 5565 | 1.0144 | 55.2425 | 38.3984 | 41.1723 | 47.266 | 126.8704 |
| 0.9705 | 8.0 | 6360 | 0.9993 | 55.3351 | 38.3237 | 40.4765 | 47.3272 | 127.0 |
| 0.9266 | 9.0 | 7155 | 0.9864 | 55.174 | 38.0535 | 40.3484 | 46.7058 | 126.0926 |
| 0.9181 | 10.0 | 7950 | 0.9713 | 54.822 | 37.8024 | 40.0583 | 46.4962 | 126.5 |
| 0.9053 | 11.0 | 8745 | 0.9690 | 55.6235 | 38.9253 | 40.6261 | 47.1602 | 127.0 |
| 0.8513 | 12.0 | 9540 | 0.9614 | 55.3525 | 38.9343 | 40.4011 | 46.9631 | 127.0 |
| 0.8436 | 13.0 | 10335 | 0.9565 | 56.1316 | 39.5794 | 41.4653 | 47.7626 | 127.0 |
| 0.8343 | 14.0 | 11130 | 0.9522 | 55.7155 | 38.9484 | 40.968 | 47.0273 | 126.7778 |
| 0.8308 | 15.0 | 11925 | 0.9502 | 55.7195 | 39.1268 | 40.7967 | 47.1869 | 127.0 |
| 0.8296 | 16.0 | 12720 | 0.9488 | 55.4754 | 39.1074 | 40.822 | 47.3045 | 126.7778 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Library
- transformers
- Type
- pegasus
- Created
- Oct 23, 2022
- Updated
- Oct 23, 2022