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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: flan-t5-base-billsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
split: train[16000:]
args: default
metrics:
- name: Rouge1
type: rouge
value: 14.041
---
<!-- 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. -->
# flan-t5-base-billsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the billsum dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 14.041
- Rouge2: 6.012
- Rougel: 11.3068
- Rougelsum: 12.0551
- Gen Len: 16.0610
## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|:---------:|:-------:|
| 0.0 | 1.0 | 2359 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 2.0 | 4718 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 3.0 | 7077 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 4.0 | 9436 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 5.0 | 11795 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 6.0 | 14154 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 7.0 | 16513 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
| 0.0 | 8.0 | 18872 | nan | 14.041 | 6.012 | 11.3068 | 12.0551 | 16.0610 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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