Downloads · 30 days
5
1% of all-time downloads
pegasus-large-finetuned-cnn_dailymail
CyrexPro/pegasus-large-finetuned-cnn_dailymail
pegasus-large-finetuned-cnn_dailymail is a machine learning model from CyrexPro. 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. --
All-time downloads
396
Public
Parameters
571M
208 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.3 GB · 100%
At a glance
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Aug 12, 2023
- Updated
- May 13, 2024
- SHA
- b635a4e0
Base models
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-large-finetuned-cnn_dailymail
This model is a fine-tuned version of google/pegasus-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0469
- Rouge1: 45.2373
- Rouge2: 22.4813
- Rougel: 31.8329
- Rougelsum: 41.6862
- Bleu 1: 34.8304
- Bleu 2: 23.4162
- Bleu 3: 17.4357
- Meteor: 35.0815
- Lungime rezumat: 56.5898
- Lungime original: 48.7656
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: 5.6e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Lungime rezumat | Lungime original |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.2058 | 1.0 | 7165 | 1.0640 | 44.5245 | 22.1439 | 31.4275 | 40.9808 | 33.9802 | 22.8183 | 16.9712 | 34.1035 | 55.245 | 48.7656 |
| 1.0602 | 2.0 | 14330 | 1.0534 | 44.7088 | 22.1286 | 31.3398 | 41.0804 | 34.1571 | 22.9231 | 17.0479 | 35.1782 | 59.6166 | 48.7656 |
| 1.0144 | 3.0 | 21495 | 1.0479 | 45.0257 | 22.3325 | 31.7313 | 41.4189 | 34.6084 | 23.227 | 17.2859 | 34.7757 | 56.1443 | 48.7656 |
| 0.9875 | 4.0 | 28660 | 1.0469 | 45.2373 | 22.4813 | 31.8329 | 41.6862 | 34.8304 | 23.4162 | 17.4357 | 35.0815 | 56.5898 | 48.7656 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- pegasus
- Created
- Aug 12, 2023
- Updated
- May 13, 2024