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my_billsum_model
Shubhu07/my_billsum_model
my_billsum_model is a machine learning model from Shubhu07. 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
- Apr 18, 2025
- Updated
- Apr 18, 2025
- SHA
- 97beb604
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_billsum_model
This model is a fine-tuned version of Shubhu07/my_billsum_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2772
- Rouge1: 0.2051
- Rouge2: 0.0968
- Rougel: 0.1722
- Rougelsum: 0.1722
- 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 50 | 2.4554 | 0.1484 | 0.0499 | 0.1211 | 0.1213 | 20.0 |
| No log | 2.0 | 100 | 2.3995 | 0.1764 | 0.0717 | 0.146 | 0.1461 | 20.0 |
| No log | 3.0 | 150 | 2.3573 | 0.1978 | 0.0877 | 0.1655 | 0.1656 | 20.0 |
| No log | 4.0 | 200 | 2.3325 | 0.2036 | 0.0937 | 0.17 | 0.17 | 20.0 |
| No log | 5.0 | 250 | 2.3136 | 0.2061 | 0.0953 | 0.1728 | 0.1727 | 20.0 |
| No log | 6.0 | 300 | 2.2987 | 0.2056 | 0.096 | 0.1725 | 0.1724 | 20.0 |
| No log | 7.0 | 350 | 2.2898 | 0.204 | 0.0957 | 0.1714 | 0.1715 | 20.0 |
| No log | 8.0 | 400 | 2.2824 | 0.2047 | 0.0962 | 0.1721 | 0.1721 | 20.0 |
| No log | 9.0 | 450 | 2.2788 | 0.2053 | 0.0968 | 0.1723 | 0.1723 | 20.0 |
| 2.5896 | 10.0 | 500 | 2.2772 | 0.2051 | 0.0968 | 0.1722 | 0.1722 | 20.0 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 18, 2025
- Updated
- Apr 18, 2025