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

# flan-recipes

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 71.0741
- Rouge2: 34.937
- Rougel: 71.129
- Rougelsum: 71.0758
- Gen Len: 4.0103

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 873  | nan             | 71.0741 | 34.937 | 71.129 | 71.0758   | 4.0103  |
| 0.0           | 2.0   | 1746 | nan             | 71.0741 | 34.937 | 71.129 | 71.0758   | 4.0103  |
| 0.0           | 3.0   | 2619 | nan             | 71.0741 | 34.937 | 71.129 | 71.0758   | 4.0103  |
| 0.0           | 4.0   | 3492 | nan             | 71.0741 | 34.937 | 71.129 | 71.0758   | 4.0103  |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3