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senate_bills_summary_model
cheaptrix/senate_bills_summary_model
senate_bills_summary_model is a machine learning model from cheaptrix. 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
- May 7, 2024
- Updated
- Sep 4, 2024
- SHA
- c3b0f289
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. -->
senate_bills_summary_model
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9849
- Rouge1: 0.2462
- Rouge2: 0.1934
- Rougel: 0.2389
- Rougelsum: 0.2389
- Gen Len: 18.9981
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: 14
- eval_batch_size: 14
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.7477 | 1.0 | 749 | 2.1012 | 0.2474 | 0.192 | 0.2397 | 0.2396 | 18.9992 |
| 2.3215 | 2.0 | 1498 | 2.0257 | 0.2464 | 0.1931 | 0.2391 | 0.239 | 18.9992 |
| 2.2304 | 3.0 | 2247 | 1.9963 | 0.2459 | 0.1933 | 0.2386 | 0.2386 | 18.9989 |
| 2.194 | 4.0 | 2996 | 1.9849 | 0.2462 | 0.1934 | 0.2389 | 0.2389 | 18.9981 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 7, 2024
- Updated
- Sep 4, 2024