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billsum_t5-model_summarization
rodrigorcarmo/billsum_t5-model_summarization
billsum_t5-model_summarization is a machine learning model from rodrigorcarmo. 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
- Oct 14, 2024
- Updated
- Oct 14, 2024
- SHA
- b58f81b0
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. -->
billsum_t5-model_summarization
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3999
- Rouge1: 0.1896
- Rouge2: 0.0907
- Rougel: 0.1582
- Rougelsum: 0.1581
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.5068 | 0.1506 | 0.0575 | 0.1233 | 0.1232 | 19.0 |
| No log | 2.0 | 124 | 2.4498 | 0.1644 | 0.0671 | 0.1359 | 0.1357 | 19.0 |
| No log | 3.0 | 186 | 2.4207 | 0.1836 | 0.0826 | 0.1521 | 0.1522 | 19.0 |
| No log | 4.0 | 248 | 2.4052 | 0.1889 | 0.0896 | 0.1574 | 0.1573 | 19.0 |
| No log | 5.0 | 310 | 2.3999 | 0.1896 | 0.0907 | 0.1582 | 0.1581 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024