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my_billsum_model
yihongwang/my_billsum_model
my_billsum_model is a machine learning model from yihongwang. 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
- Sep 6, 2024
- Updated
- Sep 9, 2024
- SHA
- 0e6fc406
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_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: 2.3699
- Rouge1: 0.1958
- Rouge2: 0.0949
- Rougel: 0.167
- Rougelsum: 0.167
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | 62 | 2.7958 | 0.1228 | 0.0386 | 0.0997 | 0.1 | 19.0 |
| No log | 2.0 | 124 | 2.5846 | 0.1385 | 0.047 | 0.1139 | 0.114 | 19.0 |
| No log | 3.0 | 186 | 2.5034 | 0.1506 | 0.0563 | 0.1232 | 0.1234 | 19.0 |
| No log | 4.0 | 248 | 2.4548 | 0.1734 | 0.0756 | 0.1467 | 0.1468 | 19.0 |
| No log | 5.0 | 310 | 2.4231 | 0.1893 | 0.0877 | 0.1597 | 0.1597 | 19.0 |
| No log | 6.0 | 372 | 2.3991 | 0.1926 | 0.0913 | 0.1638 | 0.1638 | 19.0 |
| No log | 7.0 | 434 | 2.3862 | 0.1945 | 0.0944 | 0.166 | 0.166 | 19.0 |
| No log | 8.0 | 496 | 2.3764 | 0.195 | 0.094 | 0.1662 | 0.1663 | 19.0 |
| 2.7718 | 9.0 | 558 | 2.3714 | 0.1959 | 0.0952 | 0.1672 | 0.1672 | 19.0 |
| 2.7718 | 10.0 | 620 | 2.3699 | 0.1958 | 0.0949 | 0.167 | 0.167 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 6, 2024
- Updated
- Sep 9, 2024