---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bw58_billsum_model
  results: []
---

<!-- 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. -->

# bw58_billsum_model

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1732
- Rouge2: 0.056
- Rougel: 0.1193
- Rougelsum: 0.1195
- Gen Len: 42.3387

## 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: 0.002
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 66   | nan             | 0.1732 | 0.056  | 0.1193 | 0.1195    | 42.3387 |
| No log        | 2.0   | 132  | nan             | 0.1732 | 0.056  | 0.1193 | 0.1195    | 42.3387 |
| No log        | 3.0   | 198  | nan             | 0.1732 | 0.056  | 0.1193 | 0.1195    | 42.3387 |
| No log        | 4.0   | 264  | nan             | 0.1732 | 0.056  | 0.1193 | 0.1195    | 42.3387 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2