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

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7687
- Rouge1: 19.5278
- Rouge2: 13.4042
- Rougel: 17.2713
- Rougelsum: 18.2289
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 28   | 0.8985          | 20.106  | 13.8185 | 17.5397 | 19.1007   | 19.0    |
| No log        | 2.0   | 56   | 0.8444          | 19.963  | 13.2848 | 17.4604 | 18.8592   | 19.0    |
| No log        | 3.0   | 84   | 0.8163          | 19.9916 | 13.9678 | 17.8614 | 19.0133   | 19.0    |
| No log        | 4.0   | 112  | 0.7918          | 19.8144 | 12.9257 | 17.5265 | 18.6706   | 19.0    |
| No log        | 5.0   | 140  | 0.7859          | 19.6936 | 13.9027 | 17.548  | 18.4906   | 19.0    |
| No log        | 6.0   | 168  | 0.7796          | 19.4132 | 13.4927 | 17.3465 | 18.1291   | 19.0    |
| No log        | 7.0   | 196  | 0.7732          | 19.7803 | 13.3453 | 17.5581 | 18.4902   | 19.0    |
| No log        | 8.0   | 224  | 0.7724          | 19.2412 | 12.4472 | 16.8241 | 17.8911   | 19.0    |
| No log        | 9.0   | 252  | 0.7687          | 19.5278 | 13.4042 | 17.2713 | 18.2289   | 19.0    |
| No log        | 10.0  | 280  | 0.7691          | 19.5748 | 13.3162 | 17.5093 | 18.4578   | 19.0    |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1