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bart-large-cnn-ext15
czartur/bart-large-cnn-ext15
bart-large-cnn-ext15 is a machine learning model from czartur. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024
- SHA
- 92c5450f
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. -->
bart-large-cnn-ext15
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9309
- Rouge1: 28.3399
- Rouge2: 9.8878
- Rougel: 20.3979
- Rougelsum: 21.9156
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.3549 | 1.0 | 2676 | 2.0725 | 27.7488 | 9.0655 | 19.7904 | 21.4815 |
| 1.7988 | 2.0 | 5352 | 1.9467 | 28.0297 | 9.5377 | 20.178 | 21.6432 |
| 1.4594 | 3.0 | 8028 | 1.9309 | 28.3399 | 9.8878 | 20.3979 | 21.9156 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024