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The_summerizer
Amalsalilan/The_summerizer
The_summerizer is a machine learning model from Amalsalilan. 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 20, 2023
- Updated
- Apr 20, 2023
- SHA
- 5433b1b1
Datasets
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. -->
The_summerizer
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5487
- Rouge1: 0.1347
- Rouge2: 0.0441
- Rougel: 0.1099
- Rougelsum: 0.1099
- 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: 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 | 2.8446 | 0.1278 | 0.0368 | 0.1074 | 0.1073 | 19.0 |
| No log | 2.0 | 124 | 2.6299 | 0.1291 | 0.0385 | 0.1065 | 0.1064 | 19.0 |
| No log | 3.0 | 186 | 2.5660 | 0.1317 | 0.0428 | 0.108 | 0.1079 | 19.0 |
| No log | 4.0 | 248 | 2.5487 | 0.1347 | 0.0441 | 0.1099 | 0.1099 | 19.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 20, 2023
- Updated
- Apr 20, 2023