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LED_billsum_model
ruchita1010/LED_billsum_model
LED_billsum_model is a machine learning model from ruchita1010. 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
- led
- Access
- Public
- Created
- Nov 1, 2023
- Updated
- Nov 1, 2023
- SHA
- 739e1229
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. -->
LED_billsum_model
This model is a fine-tuned version of allenai/led-base-16384 on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.6576
- Rouge1: 0.1447
- Rouge2: 0.0854
- Rougel: 0.1292
- Rougelsum: 0.1339
- 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: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4849 | 1.0 | 330 | 1.6511 | 0.1463 | 0.0827 | 0.1276 | 0.1337 | 20.0 |
| 1.3361 | 2.0 | 660 | 1.6056 | 0.148 | 0.0799 | 0.1268 | 0.1336 | 20.0 |
| 1.1727 | 3.0 | 990 | 1.5833 | 0.1459 | 0.0827 | 0.1289 | 0.1341 | 20.0 |
| 1.0601 | 4.0 | 1320 | 1.5987 | 0.1462 | 0.0859 | 0.1299 | 0.1344 | 20.0 |
| 0.9789 | 5.0 | 1650 | 1.6030 | 0.1414 | 0.0794 | 0.125 | 0.1302 | 20.0 |
| 0.8724 | 6.0 | 1980 | 1.6060 | 0.1476 | 0.0868 | 0.1298 | 0.1356 | 20.0 |
| 0.7994 | 7.0 | 2310 | 1.6295 | 0.1348 | 0.0758 | 0.1198 | 0.1253 | 20.0 |
| 0.7762 | 8.0 | 2640 | 1.6317 | 0.1422 | 0.0831 | 0.1261 | 0.1312 | 20.0 |
| 0.7087 | 9.0 | 2970 | 1.6501 | 0.1421 | 0.0825 | 0.1264 | 0.1311 | 20.0 |
| 0.7014 | 10.0 | 3300 | 1.6576 | 0.1447 | 0.0854 | 0.1292 | 0.1339 | 20.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- led
- License
- apache-2.0
- Created
- Nov 1, 2023
- Updated
- Nov 1, 2023