metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: senate_bills_summary_model
results: []
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