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

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: 2.1038
- Rouge1: 68.104
- Rouge2: 62.8731
- Rougel: 64.5026
- Rougelsum: 64.9706
- Gen Len: 18.2857

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 8    | 2.2508          | 50.6686 | 41.7234 | 40.6222 | 39.9018   | 14.5714 |
| No log        | 2.0   | 16   | 2.1618          | 67.043  | 61.7975 | 59.6406 | 59.8096   | 18.0    |
| No log        | 3.0   | 24   | 2.1275          | 68.4011 | 63.5573 | 65.3917 | 65.8837   | 18.2857 |
| No log        | 4.0   | 32   | 2.1100          | 67.547  | 62.8731 | 64.5026 | 64.9706   | 18.2857 |
| No log        | 5.0   | 40   | 2.1038          | 68.104  | 62.8731 | 64.5026 | 64.9706   | 18.2857 |


### Framework versions

- Transformers 4.33.1
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.13.3