---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-tigger
  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-base-tigger

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: 2.0135
- Rouge1: 18.0026
- Rouge2: 10.6544
- Rougel: 17.8917
- Rougelsum: 17.9016
- Gen Len: 16.8967

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.2643        | 1.0   | 1800 | 2.0944          | 18.9867 | 11.8419 | 18.9199 | 18.9118   | 15.0372 |
| 2.1069        | 2.0   | 3600 | 2.0400          | 17.7894 | 10.6008 | 17.6678 | 17.6848   | 16.3131 |
| 2.0446        | 3.0   | 5400 | 2.0172          | 18.4179 | 11.1483 | 18.2905 | 18.3525   | 16.8078 |
| 2.0053        | 4.0   | 7200 | 2.0135          | 18.0026 | 10.6544 | 17.8917 | 17.9016   | 16.8967 |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3