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bart-billsum
baek26/bart-billsum
bart-billsum is a machine learning model from baek26. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024
- SHA
- 0d6e1eb3
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. -->
billsum_7999_bart-base
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4857
- Rouge1: 0.1511
- Rouge2: 0.0596
- Rougel: 0.1229
- Rougelsum: 0.1301
- Gen Len: 20.0
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6272 | 1.69 | 500 | 2.4571 | 0.1622 | 0.071 | 0.1353 | 0.1414 | 20.0 |
| 1.3504 | 3.38 | 1000 | 2.4533 | 0.1562 | 0.0637 | 0.1272 | 0.1345 | 20.0 |
| 1.251 | 5.07 | 1500 | 2.4592 | 0.1489 | 0.0586 | 0.1215 | 0.1287 | 20.0 |
| 1.2374 | 6.75 | 2000 | 2.4967 | 0.1487 | 0.0588 | 0.1219 | 0.1286 | 20.0 |
| 1.15 | 8.44 | 2500 | 2.4857 | 0.1511 | 0.0596 | 0.1229 | 0.1301 | 20.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024