metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bw58_billsum_model
results: []
bw58_billsum_model
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1628
- Rouge1: 0.402
- Rouge2: 0.162
- Rougel: 0.286
- Rougelsum: 0.2864
- Gen Len: 99.9879
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: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.7337 | 1.0 | 66 | 2.2892 | 0.32 | 0.1024 | 0.2173 | 0.2179 | 89.6048 |
| 2.5608 | 2.0 | 132 | 2.1977 | 0.376 | 0.1413 | 0.2618 | 0.262 | 97.7863 |
| 2.5009 | 3.0 | 198 | 2.1694 | 0.4009 | 0.1615 | 0.2846 | 0.285 | 99.9194 |
| 2.4203 | 4.0 | 264 | 2.1628 | 0.402 | 0.162 | 0.286 | 0.2864 | 99.9879 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2