Downloads · 30 days
4
10% of all-time downloads
my_awesome_billsum_model
DLliuan/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from DLliuan. 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
39
Public
Parameters
60.5M
243 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
- Jan 22, 2026
- Updated
- Jan 22, 2026
- SHA
- 2862ebb1
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: 2.5227
- Rouge1: 0.1574
- Rouge2: 0.0638
- Rougel: 0.1291
- Rougelsum: 0.1289
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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 | 62 | 2.8136 | 0.1429 | 0.0483 | 0.1191 | 0.119 | 20.0 |
| No log | 2.0 | 124 | 2.6011 | 0.1531 | 0.0609 | 0.1268 | 0.1266 | 20.0 |
| No log | 3.0 | 186 | 2.5404 | 0.1575 | 0.0645 | 0.1293 | 0.1291 | 20.0 |
| No log | 4.0 | 248 | 2.5227 | 0.1574 | 0.0638 | 0.1291 | 0.1289 | 20.0 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 22, 2026
- Updated
- Jan 22, 2026