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my_awesome_billsum_model
tungmai-dev/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from tungmai-dev. 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
- Mar 13, 2025
- Updated
- Mar 13, 2025
- SHA
- a694c121
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: 2.3073
- Rouge1: 0.2028
- Rouge2: 0.1008
- Rougel: 0.1704
- Rougelsum: 0.1702
- 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: 2
- eval_batch_size: 2
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 495 | 2.4441 | 0.189 | 0.0837 | 0.1544 | 0.1541 | 20.0 |
| 2.9444 | 2.0 | 990 | 2.3499 | 0.2034 | 0.0984 | 0.1695 | 0.1693 | 20.0 |
| 2.5749 | 3.0 | 1485 | 2.3180 | 0.2035 | 0.1008 | 0.1703 | 0.1702 | 20.0 |
| 2.4992 | 4.0 | 1980 | 2.3073 | 0.2028 | 0.1008 | 0.1704 | 0.1702 | 20.0 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 2.20.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025