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tallboy_billsum
tallb0y/tallboy_billsum
tallboy_billsum is a machine learning model from tallb0y. 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
- t5
- Access
- Public
- Created
- Jun 4, 2023
- Updated
- Jun 4, 2023
- SHA
- 65c8e57b
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. -->
tallboy_billsum
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5423
- Rouge1: 0.1384
- Rouge2: 0.0458
- Rougel: 0.1146
- Rougelsum: 0.1148
- Gen Len: 19.0
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: 16
- eval_batch_size: 16
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.8369 | 0.131 | 0.0369 | 0.1077 | 0.1074 | 19.0 |
| No log | 2.0 | 124 | 2.6242 | 0.1358 | 0.0411 | 0.1121 | 0.1121 | 19.0 |
| No log | 3.0 | 186 | 2.5585 | 0.1352 | 0.0443 | 0.1121 | 0.1123 | 19.0 |
| No log | 4.0 | 248 | 2.5423 | 0.1384 | 0.0458 | 0.1146 | 0.1148 | 19.0 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 4, 2023
- Updated
- Jun 4, 2023