Downloads · 30 days
15
35% of all-time downloads
my_awesome_billsum_model
keyur653/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from keyur653. 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
43
Public
Parameters
297M
3.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- longt5
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025
- SHA
- 5ca5fc90
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: 2.2381
- Rouge1: 0.204
- Rouge2: 0.1008
- Rougel: 0.172
- Rougelsum: 0.172
- 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch 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 |
|---|---|---|---|---|---|---|---|---|
| 3.0674 | 1.0 | 989 | 2.3786 | 0.204 | 0.1001 | 0.1708 | 0.1709 | 20.0 |
| 2.5295 | 2.0 | 1978 | 2.2827 | 0.2027 | 0.0969 | 0.1692 | 0.1691 | 20.0 |
| 2.437 | 3.0 | 2967 | 2.2455 | 0.2039 | 0.0999 | 0.1715 | 0.1716 | 20.0 |
| 2.4038 | 4.0 | 3956 | 2.2381 | 0.204 | 0.1008 | 0.172 | 0.172 | 20.0 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- transformers
- Type
- longt5
- License
- apache-2.0
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025