---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: underline_to_emphasis_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. -->

# underline_to_emphasis_model

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1835
- Rouge2: 0.0654
- Rougel: 0.1525
- Rougelsum: 0.1523
- Gen Len: 18.4918

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- 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   | 35   | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
| No log        | 2.0   | 70   | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
| No log        | 3.0   | 105  | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
| No log        | 4.0   | 140  | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2