Downloads · 30 days
3
6% of all-time downloads
my_awesome_billsum_model
stefan-dam/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from stefan-dam. 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. --
All-time downloads
48
Public
Parameters
60.5M
726 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 28, 2026
- Updated
- Apr 28, 2026
- SHA
- 3ae5d5b4
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. -->
my_awesome_billsum_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3774
- Rouge1: 0.1978
- Rouge2: 0.0941
- Rougel: 0.1672
- Rougelsum: 0.1669
- 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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 248 | 2.5086 | 0.1636 | 0.0708 | 0.1332 | 0.1332 | 19.0645 |
| No log | 2.0 | 496 | 2.4202 | 0.1922 | 0.0874 | 0.1606 | 0.1607 | 19.0 |
| 2.7532 | 3.0 | 744 | 2.3889 | 0.1976 | 0.0938 | 0.1668 | 0.1666 | 19.0 |
| 2.7532 | 4.0 | 992 | 2.3774 | 0.1978 | 0.0941 | 0.1672 | 0.1669 | 19.0 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.11.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 28, 2026
- Updated
- Apr 28, 2026