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

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: 1.0993
- Rouge1: 19.8484
- Rouge2: 13.6841
- Rougel: 17.8819
- Rougelsum: 19.2489
- Gen Len: 19.0

## 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   | 28   | 1.3129          | 19.8055 | 13.244  | 17.4816 | 18.9752   | 19.0    |
| No log        | 2.0   | 56   | 1.1922          | 20.0308 | 13.7036 | 17.7216 | 19.3773   | 19.0    |
| No log        | 3.0   | 84   | 1.1337          | 19.4591 | 13.5553 | 17.5737 | 18.7867   | 19.0    |
| No log        | 4.0   | 112  | 1.1075          | 19.8452 | 13.681  | 17.8433 | 19.246    | 19.0    |
| No log        | 5.0   | 140  | 1.0993          | 19.8484 | 13.6841 | 17.8819 | 19.2489   | 19.0    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1