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my_awesome_billsum_model
poilog/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from poilog. 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
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 2cffa981
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: 2.5392
- Rouge1: 0.1391
- Rouge2: 0.0518
- Rougel: 0.1154
- Rougelsum: 0.1156
- 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: 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 | 62 | 2.8238 | 0.1212 | 0.0338 | 0.1022 | 0.1023 | 19.0 |
| No log | 2.0 | 124 | 2.6163 | 0.1325 | 0.0438 | 0.1093 | 0.1094 | 19.0 |
| No log | 3.0 | 186 | 2.5556 | 0.1385 | 0.0513 | 0.1149 | 0.1151 | 19.0 |
| No log | 4.0 | 248 | 2.5392 | 0.1391 | 0.0518 | 0.1154 | 0.1156 | 19.0 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.20.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024